The DOI matches its Crossref record; 128 of the 129 references it cites were found in a registry or an index; 43 of the 187 sources its claims cite were checked for support.
Wealth Inequality and Accumulation
Open accessAbstract
Review article on wealth inequality, accumulation, and its causes and consequences.
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Integrity signals
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Verification
Claims the paper makes
35 Own interpretation · 24 No full text of the sources · 23 Partly supported · 16 Sources not found · 16 Not checked yet · 16 No basis given · 10 Supported so far · 6 Own result · 5 Supported · 1 Couldn’t confirm · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Parental wealth is associated with greater offspring educational and cognitive achievement”
- Also stated in: § Consequences of Wealth: Wealth as Predictor · plain
“Parental wealth is associated with greater offspring educational and cognitive achievement (Conley 1999, 2001b; Doren & Grodsky 2016, Friedline et al. 2015, Jez 2014, Orr 2003, Pfeffer 2011, Yeung & Conley 2008)”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Not matchedcites Conley 1999, 2001b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Doren & Grodsky 2016 sourceExperimental — accuracy not yet measured
The Results section on baccalaureate college attendance reports a positive association between parental wealth and children’s college attendance, supporting the educational part of the claim. The Data > Measures section identifies a test of children’s cognitive skills, but the passages found do not report an association between parental wealth and children’s cognitive achievement. Page numbers are unavailable in our copy. (LLM, conf=0.85)
- Not checked — no full text of the sourcecites Friedline et al. 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Consequences of Wealth: Wealth as Predictor · plain
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“the correlation of wealth across generations in the U.S. is roughly 0.3 to 0.4”
- Also stated in: § Wealth Determinants: Wealth as Outcome · hedged
“The few available estimates of intergenerational wealth mobility suggest that the correlation of wealth across generations in the U.S. is roughly 0.3 to 0.4, similar to the intergenerational persistence in other measures of socioeconomic attainment (Charles & Hurst 2003, Conley & Glauber 2008, Mulligan 1997, Pfeffer & Killewald 2015).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Supportedcites Charles & Hurst 2003 source
Section III reports an age-adjusted parent–child wealth elasticity of 0.37 and describes the estimate as a measure of the intergenerational wealth correlation. The Conclusion likewise reports 0.37 using PSID data, supporting the approximate 0.3–0.4 range. The reported statistic is an elasticity, not a separately calculated correlation coefficient. (LLM, conf=0.92)
- Not matchedcites Conley & Glauber 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Mulligan 1997
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Wealth Determinants: Wealth as Outcome · hedged
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The PSID and Health and Retirement Survey (HRS) compare favorably to the SCF up until at least the 95th percentile of the wealth distribution (Bosworth & Smart 2009, Juster et al. 1999, Pfeffer et al. 2016)”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
What the sources say
- Not checked — no full text of the sourcecites Bosworth & Smart 2009 source
- Partly supportedcites Juster et al. 1999 sourceExperimental — accuracy not yet measured
In §1.2 (p. 5), the paper reports that PSID and SCF wealth estimates differ relatively modestly from the 30th through 95th percentiles, supporting the PSID portion of the claim. That comparison does not include HRS; the retrieved HRS passage (§1.4, p. 11) does not compare its wealth distribution with SCF. (LLM, conf=0.87)
- Not matchedcites Pfeffer et al. 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“An alternative approach is to model wealth accumulation rather than net worth, using either lagged dependent variables or change models (e.g., Conley 2001a, Hurst et al. 1998, McKernan et al. 2014, O’Brien 2012). The advantage is that, rather than requiring lifetime histories of relevant covariates, fewer data points may suffice; characteristics in one period (including wealth) may approximate the”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Wealth as a Cumulative Measure
What the sources say
- Not matchedcites Conley 2001a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Supportedcites Hurst et al. 1998 source
The citation identifies an example of modeling wealth accumulation, rather than wealth levels, using prior-period variables. The discussion of tables 22–23 (pp. 314–316) models 1989–94 wealth accumulation using 1989 wealth and 1984–89 accumulation. The following sentence about needing fewer data points is the citing authors’ explanation of the approach, not a finding explicitly attributed to Hurst et al. (LLM, conf=0.88)
- Partly supportedcites McKernan et al. 2014 sourceExperimental — accuracy not yet measured
In “How Private Transfers Influence Wealth” (page not supplied), the paper describes a comparison model that includes lagged wealth, supporting that part of the citation. Its dependent variable is current wealth holdings, however, not wealth change; the section does not describe a change model or say that this approach requires fewer data points than lifetime histories. (LLM, conf=0.84)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Among older adults, wealth is negatively associated with mortality (Attanasio & Hoynes 2000, Bond Huie et al. 2003)”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Supportedcites Attanasio & Hoynes 2000 source
Section 7, “Estimates of Mortality Rates” (page not provided), reports that death rates are inversely related to wealth quartile at all ages. This supports the stated association among older adults; the claim does not assert that wealth causes lower mortality. (LLM, conf=0.92)
- Not checked — no full text of the sourcecites Bond Huie et al. 2003 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“For men, wealth encourages retirement (Conley & Thompson 2013).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Supportedcites Conley & Thompson 2013 source
The Discussion states that increases in family wealth between waves allow men to retire. The paper’s summary of its models also reports that positive shocks to net worth increase the probability of retirement, with the effect strongest for men. (LLM, conf=0.94)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“the share of households with no wealth or in net debt increased from 9.7% to 12.9%.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Trends in Wealth and Wealth Inequality
What the sources say
- Partly supportedcites Pfeffer et al. 2013 sourceExperimental — accuracy not yet measured
The Background section (‘Long-terms trends in the distribution of wealth’; page unavailable) reports an increase in households with zero or negative net worth, from 15.5% in 1983 to 18.6% in 2007. It does not support the claimed figures of 9.7% and 12.9%; searches for both figures found no matching passage in our copy. (LLM, conf=0.84)
- Not matchedcites Wolff 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“and facilitates self-employment (Fairlie & Krashinsky 2012, but see also Hurst & Lusardi 2004).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Supportedcites Fairlie & Krashinsky 2012 source
The Conclusion (p. 30) reports that self-employment entry rates generally increase with wealth among both job losers and non-job losers. The model (p. 8) explains how limited assets can discourage entry into self-employment, supporting the claim that individuals’ own wealth facilitates it. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites Hurst & Lusardi 2004 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“the median U.S. household with less net worth in 2013 than in 1995 ($81,400 vs. $87,700 in 2013-$).”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Trends in Wealth and Wealth Inequality
What the sources say
- Partly supportedcites Pfeffer et al. 2013 sourceExperimental — accuracy not yet measured
The Results (Repeated cross-sectional analyses; page unavailable) report a decline in median household net worth from 2003 to 2011, supporting the general downward trend. The paper does not establish the claimed 2013-versus-1995 comparison or the figures $81,400 and $87,700 (searched: both amounts and 1995). (LLM, conf=0.84)
- Not matchedcites Wolff 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The fraction of aggregate U.S. net worth attributable to inheritances or other transfers has been hotly debated, but it is typically estimated to exceed 50 percent when post-transfer appreciation is considered (Gale & Scholz 1994, Kotlikoff & Summers 1981, Wilhelm 2001).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Partly supportedcites Gale & Scholz 1994 sourceExperimental — accuracy not yet measured
In “Moving Up from a Lower Bound” (page unavailable), Gale and Scholz estimate that intended transfers plus bequests account for at least 51% of U.S. net worth. “Measuring Intended Transfers” says they include interest earned after a transfer. But the paper also says its 51% figure is higher than most U.S. estimates, and reports 40% under a different growth assumption; it therefore does not support the claim that estimates typically exceed 50%. (LLM, conf=0.87)
- Not checked — no full text of the sourcecites Kotlikoff & Summers 1981 source
- Not matchedcites Wilhelm 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
- It may state two separate claims as one. 35
- Probably not a substantial claim. 29
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Parental wealth and home value appreciation are positively associated with college enrollment, institutional quality, and bachelor’s degree completion”
- Also stated in: § Consequences of Wealth: Wealth as Predictor · plain
“Parental wealth and home value appreciation are positively associated with college enrollment, institutional quality, and bachelor’s degree completion (Conley 2001b, Doren & Grodsky 2016, Jez 2014, Lovenheim & Reynolds 2013)”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Not matchedcites Conley 2001b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Doren & Grodsky 2016 sourceExperimental — accuracy not yet measured
The Results sections on baccalaureate college attendance, elite college attendance, and completion report positive associations with family wealth. However, the paper measures total net worth, not home value appreciation, and only the unadjusted wealth estimate for elite college attendance is statistically significant. The indexed passages provide section labels but no page numbers. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites Jez 2014 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § Consequences of Wealth: Wealth as Predictor · plain
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“whether bequests increase wealth inequality (Boserup et al. 2016, Karagiannaki Forthcoming) and whether whites experience greater wealth benefits of homeownership than African-Americans and Hispanics (Killewald & Bryan 2016) depend on whether comparisons are made in absolute or relative terms.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
What the sources say
- Supportedcites Boserup et al. 2016 source
The indexed copy’s abstract states that bequests increase absolute wealth inequality but reduce relative inequality. That supports the bequest clause attributed to Boserup et al.; the separate homeownership clause is attributed to Killewald and Bryan, not to this source. (LLM, conf=0.91)
- Not matchedcites Karagiannaki Forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Killewald & Bryan 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Recent research has begun to consider the possibility that both the consequences (e.g., Friedline et al. 2015, Killewald 2013) and the determinants of wealth vary across the wealth distribution (e.g. Addo & Lichter 2013, Killewald 2013, Maroto 2016).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
What the sources say
- Not checked — no full text of the sourcecites Friedline et al. 2015 source
- Partly supportedcites Killewald 2013 sourceExperimental — accuracy not yet measured
The Results (page not provided) show that education, income, and parental wealth have different associations with net worth among wealth holders and debtors, supporting variation in the determinants of wealth. The Introduction describes consequences of wealth generally, but the paper does not establish that those consequences vary across the wealth distribution. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites Addo & Lichter 2013 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“mean wealth rose from $323,500 to $528,400 during the same time span, reflecting the disproportionate growth of wealth at the top as well as losses at the bottom”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Trends in Wealth and Wealth Inequality
What the sources say
- Partly supportedcites Pfeffer et al. 2013 sourceExperimental — accuracy not yet measured
The Results section (Repeated cross-sectional analyses; page not available) reports substantially greater pre-recession gains among wealthier households and declines at the bottom, supporting the claim’s description of unequal changes. It does not report mean wealth rising from $323,500 to $528,400 between 1995 and 2013; its mean-wealth trend covers 2003–2011 and includes a decline after 2007. (LLM, conf=0.88)
- Not matchedcites Wolff 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“young adults’ own wealth supports marriage, while debt encourages cohabitation (Addo 2014, Schneider 2011).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Supportedcites Addo 2014 source
The Discussion reports that wealth and marriage are significantly associated among young adults, citing Schneider (2011), and identifies debt as relevant to union formation. The Results say debt increases cohabitation and deters marriage; the paper frames these findings as associations, not proof of causation. No page numbers were available in our copy. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites Schneider 2011 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Among older, previously-married Americans, wealth accelerates both cohabitation and remarriage (Vespa 2012).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Partly supportedcites Vespa 2012 sourceExperimental — accuracy not yet measured
The Multivariate Analyses section reports that wealthier older adults have a greater risk of both remarriage and cohabitation than of remaining single. The Analytic Strategy section models these as associations in discrete time; it does not establish that wealth causes either transition to happen sooner, as “accelerates” implies. (LLM, conf=0.84)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“For women, student debt is associated with fertility delay, while both mortgages and credit card debt accelerate transitions to parenthood (Nau et al. 2015).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Supportedcites Nau et al. 2015 source
The Results section reports that, for women, credit card debt and home mortgages are positively associated with transitioning to motherhood in a given year, while student loans are associated with a lower likelihood. This supports the claimed difference in fertility timing across debt types. (LLM, conf=0.93)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Religious upbringing is also associated with wealth, with Jews accumulating more wealth than otherwise similar mainline Protestants and Catholics, who in turn accumulate more than conservative Protestants (Keister 2003b, 2007, 2008).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not matchedcites Keister 2003b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Keister 2007 source
- Partly supportedcites Keister 2008 sourceExperimental — accuracy not yet measured
The Results (page not provided) report that people raised in conservative Protestant families had significantly fewer adult assets than those raised in Catholic and mainline Protestant families after controls. The Conclusion says people born in Jewish families tend to have relatively high net worth, but it does not establish that they have more wealth than otherwise similar Catholics and mainline Protestants. (LLM, conf=0.88)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“extended family wealth is associated with education, transition to homeownership, and own wealth (Hall & Crowder 2011, Prix & Pfeffer Forthcoming).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Partly supportedcites Hall & Crowder 2011 sourceExperimental — accuracy not yet measured
The Results (Household Wealth; Transition to Homeownership, pages not provided) associate extended-family wealth with nonowners’ own wealth and with their likelihood of becoming homeowners. Education is included as a control, but the cited paper does not establish an association between extended-family wealth and education. (LLM, conf=0.88)
- Not matchedcites Prix & Pfeffer Forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Compared to whites, Hispanics have lower rates of homeownership, transition to homeownership more slowly, have higher rates of homeownership exit, possess less home equity than whites, and experience smaller wealth benefits from homeownership (Flippen 2001, Killewald & Bryan 2016, Krivo & Kaufman 2004).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not checked — no full text of the sourcecites Flippen 2001 source
- Not matchedcites Killewald & Bryan 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Krivo & Kaufman 2004 sourceExperimental — accuracy not yet measured
The Results report homeownership for 49% of Hispanic households versus over 70% of white households, and lower median home equity among Hispanic homeowners. The Discussion and Conclusions report smaller equity payoffs from housing characteristics for Hispanics. The paper does not establish that Hispanics transition to homeownership more slowly or exit it at higher rates; slower accumulation of equity is a different finding. (LLM, conf=0.88)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“median net worth is higher among Cuban-Americans than among Mexican-Americans, who in turn hold more wealth than Puerto Ricans”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Could not verifycites Keister et al. 2015 sourceExperimental — accuracy not yet measured
The Data and Research Design section says the study includes Puerto Rican and Cuban respondents for comparison, but it gives no median net-worth ranking. The Findings section compares Mexican Americans with African Americans and non-Latino whites, not with Cuban Americans or Puerto Ricans. Searches for median net worth and comparisons among the three Latino groups did not locate the claimed ranking in our copy. (LLM, conf=0.72)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Could not verify
None of the sources cited for this claim have been checked yet.
In the paper
“Scandinavian administrative data sources are particularly powerful because they provide very high-quality wealth measures based on tax registers, often allowing the tracking of individuals across their life-course and across generations for the full population (e.g. Hällsten & Pfeffer Forthcoming for Sweden, and Hansen 2014 for Norway).”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
What the sources say
- Not matchedcites Hällsten & Pfeffer Forthcoming
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Hansen 2014 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Most surveys construct wealth as a household-level measure, although some treat the respondent and partner (if any) as the wealth-holding unit.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Among U.S. datasets, the SCF collects the most detailed wealth information.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Over the last several decades, collecting net worth measures has become more common in large-scale surveys fielded in the U.S. and abroad.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Several surveys, including the Survey of Consumer Finances (SCF) in the U.S., oversample the wealthy to improve description of the top of the wealth distribution.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Many of the surveys are longitudinal and several cover multiple decades, allowing observation of wealth over a large portion of the life course and — for genealogical panel studies, such as the Panel Study of Income Dynamics (PSID) and its international sister studies — increasingly across generations.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, the phase-out of wealth taxation abolishes this data source for some countries, like Sweden since 2007.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Advances in Data Availability
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our analysis (see Figure 1) reveals that correlations based on top-coding both variables at the 99th percentile, taking the natural logarithm, or using percentiles yield similar estimates of about 0.6 — larger than those generated by raw measures or the inverse hyperbolic sine transformation.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Wealth’s Distinctiveness in Social Stratification
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Inequality in net worth increased in the second half of the twentieth century (Keister & Moller 2000), but more rapidly in the new millennium”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Trends in Wealth and Wealth Inequality
What the sources say
- Not checked — no full text of the sourcecites Keister & Moller 2000 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Again, averaging income over multiple years, when possible, can alleviate this concern.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Wealth as a Cumulative Measure
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Using median regression, rather than conditional mean models like ordinary least squares, also reduces the sensitivity of results to extreme observations.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The log-transform assumes that changes in the independent variables have (roughly) constant proportional effects on net worth, whereas the untransformed specification assumes additive effects.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“So far, there is no consensus on best practices.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: There is no consensus on best practices for operationalizing net worth.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Given that wealth determinants may vary sharply across the wealth distribution, we encourage researchers to use these and other methods, rather than capture only mean differences.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“first-difference models might estimate the short-term wealth consequences of unemployment or health shocks, but they cannot reveal how chronic exposure to unemployment or illness cumulatively affect accumulated wealth in later life: narrowing the time window comes at the expense of fully capturing early life experiences’ downstream wealth effects.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Wealth as a Cumulative Measure
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“An alternative is the inverse hyperbolic sine (IHS) transformation, which can incorporate zero and negative values, generating a function that is approximately linear close to zero and approximates the logarithm for large values (Friedline et al. 2015, Pence 2006).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
What the sources say
- Not checked — no full text of the sourcecites Friedline et al. 2015 source
- Not matchedcites Pence 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Minimally, top-coding net worth values can help reduce the potential for unduly influential outliers.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The difficulty of establishing causal relationships has complicated assessments of the processes by which wealth accumulation occurs and between-group disparities in wealth arise.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Wealth as a Cumulative Measure
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
In the paper
“Recoding negative values to a small positive value obscures relative net debt values and creates an outlier mass point at the low end of the log net worth distribution (Friedline et al. 2015)”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
What the sources say
- Not checked — no full text of the sourcecites Friedline et al. 2015 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Given measurement error concerns, wealth measures would ideally be averaged across several years to reduce attenuation bias when used as a predictor variable.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“While income measures the flow of financial resources at a particular time, wealth is a cumulative stock that reflects years of prior circumstances and decisions.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Wealth as a Cumulative Measure
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Another common solution is to log-transform net worth, but this approach requires a decision about how to treat zero and negative values.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part I: Conceptual and Methodological Challenges in the Analysis of Wealth > Operationalizing an Error-Prone, Highly-Skewed Variable
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Piketty’s (2014) findings show that developed countries have generally experienced similar trends in wealth inequality through the 20th century, although inequality levels differ considerably.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Trends in Wealth and Wealth Inequality
What the sources say
- Not checked — no full text of the sourcecites Piketty 2014 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Piketty shows that wealth inequality has followed a U-shaped trajectory across most developed countries since 1900, with the upswing occurring in the U.S. since about 1970 and in Europe since about 1980.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Trends in Wealth and Wealth Inequality
What the sources say
- Not checked — no full text of the sourcecites Piketty 2014 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, our results confirm that long-term income better approximates wealth than single-year income, but wealth remains distinct, even from long-term measures of income.”
§ WEALTH INEQUALITY AND ACCUMULATION > PART II: Wealth Patterns and Data > Wealth’s Distinctiveness in Social Stratification
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In old age, wealth may be a critical source of financial resources that replaces employment income.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim could be matched to a paper in Crossref, so there is nothing to check it against.
In the paper
“Education is associated with greater wealth and more rapid wealth accumulation, net of income (Conley 2001a, Conley & Ryvicker 2004, Keister 2003a,b, 2004; Yamokoski & Keister 2006).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not matchedcites Conley 2001a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Conley & Ryvicker 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Keister 2003a,b, 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Wealth may also provide a cultural signal of status and achievement, potentially conferring political power as well.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“More directly, access to financial resources may ease the transition to adulthood by facilitating higher education, the purchase of a first home, or a wedding.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Real assets, such as vehicles and homes, have use value.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Parental wealth may benefit children by shaping the quality of their neighborhood and school contexts, as well as the resources available at home.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“another approach is to consider which component of wealth is likely to have the effect (Spilerman 2000).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
What the sources say
- Not checked — no full text of the sourcecites Spilerman 2000 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Financial assets can buffer negative economic shocks.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“their approaches illustrate the importance both of conceptualizing wealth as a cultural marker, not just a stock of financial resources, and of empirically identifying how wealth produces effects by disaggregating net worth into theoretically relevant components.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Consequences of Wealth: Wealth as Predictor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Race differences in social origins, including family structure, the economic position of parents and extended family members, and inheritances, also contribute to the black-white wealth gap and to whites’ higher rates of homeownership (Avery & Rendall 2002, Charles & Hurst 2002, Conley 2001a, Gittleman & Wolff 2004, Hall & Crowder 2011, McKernan et al. 2014, Menchik & Jianakoplos 1997).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Hispanic households had higher risk of exposure to subprime mortgage lending leading up to the Great Recession and higher foreclosure rates in the ensuing crisis (Rugh 2015).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not checked — no full text of the sourcecites Rugh 2015 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Compared to whites, African-Americans have substantially lower rates of homeownership, transition to homeownership more slowly, own homes of lower values, have less housing equity, and exit homeownership at higher rates; these differences generally persist even after adjusting for race differences in other characteristics (Charles & Hurst 2002, Flippen 2001, Keister 2000, 2004; Killewald & Bryan 2”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Asians hold, on average, less wealth than whites, but this gap increases after adjusting for other wealth-relevant traits: Asians’ wealth is lower than expected, given their relatively advantaged positions in characteristics such as education, occupation, and income (Campbell & Kaufman 2006).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not checked — no full text of the sourcecites Campbell & Kaufman 2006 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“However, whether these programs exert effects on net worth — rather than incentivizing the build-up of specific asset components at the expense of others — is less clear and these effects are small relative to the scope of U.S. wealth inequality (Duflo et al. 2006, Grinstein-Weiss et al. 2014, Mills et al. 2008, Schreiner & Sherraden 2007).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Decisions about appropriately operationalizing net worth are not merely a methodological concern; they may significantly shape substantive conclusions.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part IV: Conclusion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Despite the growth of scholarship and data, scholars in this area have not yet reached consensus on fundamental modeling and methodological decisions.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part IV: Conclusion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“For example, the extent to which higher tax rates would directly reduce wealth inequality remains unclear (Looney & Moore 2015, Piketty 2014).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not matchedcites Looney & Moore 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Piketty 2014 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Government transfer programs, including AFDC/TANF and Medicaid, may affect household wealth by reducing saving incentives and encouraging dissaving due to asset tests, or both, but evidence for these effects is mixed (Gruber & Yelowitz 1999, Hurst & Ziliak 2006, Sullivan 2006).”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We currently know little about heterogeneity in wealth’s determinants across the wealth distribution and this heterogeneity’s consequences for group-level disparities in wealth.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part IV: Conclusion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Through lending programs administered by the Federal Housing Administration (FHA) and the Veterans Administration (VA), the creation of a secondary mortgage market through Fannie and Freddie Mac, and the mortgage interest deduction, federal policy has expanded the proportion of Americans who could afford homeownership and likely increased the average size and value of homes purchased (for a review”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not checked — no full text of the sourcecites Shlay 2006 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“While socialist systems limit the accumulation of private wealth and thereby diminish the role of inheritance for asset accumulation (Szydlik 2004)”
§ WEALTH INEQUALITY AND ACCUMULATION > Part III: Evidence on Wealth Consequences and Determinants > Wealth Determinants: Wealth as Outcome
What the sources say
- Not checked — no full text of the sourcecites Szydlik 2004 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A core argument advanced in these review pieces — that wealth is an independent and important dimension of social stratification — is now widely accepted.”
§ WEALTH INEQUALITY AND ACCUMULATION > Part IV: Conclusion
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The authors state this as an assumption.
Wealth is a population-level phenomenon, not merely an aspect of closure among economic elites.
“we conceptualize wealth not merely as an aspect of closure among economic elites but as a population-level phenomenon”
The paper relies on this without support.
The wealth distribution is highly right-skewed.
“A second problem is that the wealth distribution is highly right-skewed.”
The paper relies on this without support.
There is no consensus on best practices for operationalizing net worth.
“So far, there is no consensus on best practices.”
The paper relies on this without support.
Wealth carries traces of prior experiences.
“given that wealth carries traces of prior experiences.”
The paper relies on this without support.
Other time-varying wealth determinants, such as marriage and neighborhood context, are subject to the same cumulative measurement challenge.
“other time-varying wealth determinants, such as marriage and neighborhood context, are subject to the same challenge.”
The paper relies on this without support.
The typically-cited wealth-income correlation estimate is thin on empirical detail.
“which is thin on empirical detail”
The paper relies on this without support.
Wealth shocks do not immediately lead to health changes or increased mortality rates.
“the fact that wealth shocks do not immediately lead to health changes or increased mortality rates”
The paper relies on this without support.
Health outcomes, like wealth levels, reflect many years of prior influences.
“health outcomes, like wealth levels, reflect many years of prior influences.”
The authors state this as an assumption.
Causality runs from income to wealth rather than from wealth to income when asset income is excluded from income measures.
“Scholars often implicitly assume that causality flows from income to wealth, rather than the other way around, provided that asset income is excluded from income measures.”
The authors state this as an assumption.
Risky assets have higher rates of return than cash accounts or homeownership.
“Risky assets, such as businesses, stocks, and mutual funds, are assumed to have higher rates of return than either cash accounts or homeownership.”
The authors state this as an assumption.
Wealth is a family-level characteristic shared equally between spouses or partners.
“The authors note that these findings question the assumption that wealth is a family-level characteristic, shared equally between spouses or partners.”
The paper relies on this without support.
A broad consensus has emerged on the key ascribed traits that determine wealth.
“Now that broad consensus on the key ascribed traits determining wealth has emerged, we believe scholars’ relative emphasis should shift to the causal pathways linking these characteristics to wealth accumulation.”
Citations
Cites
Capital in the Twenty-First Century
Piketty, T. (2014) · doi:10.4159/9780674369542 · Cited by 14,437
Marginal Structural Models and Causal Inference in Epidemiology
Robins, J. M., Hernán, M. Á., & Brumback, B. (2000) · Epidemiology · doi:10.1097/00001648-200009000-00011 · Cited by 5,581 · cited 1×
“An alternative is marginal structural models, estimated with inverse probability of treatment weights, which offer one way to model dynamic selection processes over time (Robins et al. 2000).”
BackgroundLabor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach
DiNardo, J., Fortin, N. M., & Lemieux, T. (1996) · Econometrica · doi:10.2307/2171954 · Cited by 2,917
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FIRPO, S. P., Fortin, N. M., & Lemieux, T. (2009) · Econometrica · doi:10.3982/ecta6822 · Cited by 2,256 · cited 1×
“The first, unconditional quantile regression, estimates how changes in independent variables are associated with changes in various quantiles of the outcome variable, net of control variables (Firpo et al. 2009, Killewald & Bearak 2014).”
BackgroundWealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data
Saez, E., & Zucman, G. (2016) · The Quarterly Journal of Economics · doi:10.1093/qje/qjw004 · Cited by 1,636
Liquidity Constraints, Household Wealth, and Entrepreneurship
Hurst, E., & Lusardi, A. (2004) · Journal of Political Economy · doi:10.1086/381478 · Cited by 1,296 · cited 1×
“Individuals’ own wealth also speeds transitions to homeownership (Di & Liu 2007, Killewald & Bryan 2016) and facilitates self-employment (Fairlie & Krashinsky 2012, but see also Hurst & Lusardi 2004).”
BackgroundAmerican apartheid: segregation and the making of the underclass
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5888 · Cited by 1,144
The Role of Intergenerational Transfers in Aggregate Capital Accumulation
Kotlikoff, L. J., & Summers, L. H. (1981) · Journal of Political Economy · doi:10.1086/260999 · Cited by 815 · cited 1×
“The fraction of aggregate US net worth attributable to inheritances or other transfers has been hotly debated, but it is typically estimated to exceed 50% when posttransfer appreciation is considered (Gale & Scholz 1994, Kotlikoff & Summers 1981, Wilhelm 2001).”
BackgroundDiscrimination in the Small-Business Credit Market
Blanchflower, D. G., Levine, P. B., & Zimmerman, D. J. (2003) · Review of Economics and Statistics · doi:10.1162/003465303772815835 · Cited by 758 · cited 1×
“…prior research finds evidence consistent with discrimination against African Americans in lending markets for homes, vehicles, and businesses (Blanchflower et al. 2003, Cavalluzzo & Wolken 2005, Charles et al. 2008, Charles & Hurst 2002, Oliver & Shapiro 2006), including disproportionate…”
Healthy, wealthy, and wise? Tests for direct causal paths between health and socioeconomic status
Adams, P., Hurd, M. D., McFadden, D., Merrill, A., & Ribeiro, T. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(02)00145-8 · Cited by 709
Racial Segregation and the American Foreclosure Crisis
Rugh, J. S., & Massey, D. S. (2010) · American Sociological Review · doi:10.1177/0003122410380868 · Cited by 686
Homer Gets a Tax Cut: Inequality and Public Policy in the American Mind
Bartels, L. M. (2005) · Perspectives on Politics · doi:10.1017/s1537592705050036 · Cited by 620 · cited 1×
“Tax policies targeted at the other end of the wealth distribution, such as inheritance and wealth taxation (Bartels 2005, Beckert 2008, Piketty 2014), also provide fertile grounds for further sociological inquiry.”
BackgroundIntergenerational Transfers and the Accumulation of Wealth
Gale, W. G., & Scholz, J. K. (1994) · Journal of Economic Perspectives · doi:10.1257/jep.8.4.145 · Cited by 592
Inflation and the Redistribution of Nominal Wealth
Doepke, M., & Schneider, M. (2006) · Journal of Political Economy · doi:10.1086/508379 · Cited by 583 · cited 1×
“Higher inflation rates constitute a broader economic factor influencing wealth inequality by advantaging young, middle-class households’ wealth positions at the expense of older and richer households (Doepke & Schneider 2006).”
BackgroundBeing Black, Living in the Red: Race, Wealth, and Social Policy in America.
Emerson, M. O., & Conley, D. (2000) · Social Forces · doi:10.2307/3006189 · Cited by 506 · cited 7×
“Income and employment differences play key roles in explaining the gap, although female-headed households’ lower savings rates (Conley & Ryvicker 2004) and women’s investments in safer, lower-yield assets (Chang 2010, Ruel & Hauser 2013) may also contribute. As described in Part II, most surveys measure wealth at the…”
BackgroundInfluentialBeing Black, Living in the Red: Race, Wealth, and Social Policy in America.
Emerson, M. O., & Conley, D. (2000) · Social Forces · doi:10.1093/sf/78.4.1579 · Cited by 498
(2004) · OUP Catalogue · Cited by 492
Wealth Inequality in the United States
Keister, L. A., & Moller, S. (2000) · Annual Review of Sociology · doi:10.1146/annurev.soc.26.1.63 · Cited by 477
Wealth and Stratification Processes
Spilerman, S. (2000) · Annual Review of Sociology · doi:10.1146/annurev.soc.26.1.497 · Cited by 457 · cited 4×
“In 2000, the Annual Review of Sociology (ARS) published two articles bringing sociologists’ attention to wealth as a previously overlooked dimension of social inequality (Keister & Moller 2000, Spilerman 2000).”
BackgroundInfluentialRecent Trends in the Size Distribution of Household Wealth
Wolff, E. N. (1998) · Journal of Economic Perspectives · doi:10.1257/jep.12.3.131 · Cited by 430 · cited 1×
“60 when using multiple income years from the PSID, and 0.55 when using single-year PSID data. Thus, our results also confirm that long-term income has a higher association with wealth than single-year income, but wealth remains distinct even from long-term measures of income. How does the wealth-income correlation var…”
MethodInfluentialBlack-White Differences in Achievement: The Importance of Wealth
Orr, A. J. (2003) · Sociology of Education · doi:10.2307/1519867 · Cited by 421
Oliver, M. L., & Shapiro, T. M. (2013) · Routledge eBooks · doi:10.4324/9780203707425 · Cited by 405
The Rise and Decline of General Laws of Capitalism
Acemoğlu, D., & Robinson, J. A. (2014) · The Journal of Economic Perspectives · doi:10.1257/jep.29.1.3 · Cited by 376
Accounting for the Black–White Wealth Gap: A Nonparametric Approach
Barsky, R., Bound, J., Charles, K. K., & Lupton, J. P. (2002) · Journal of the American Statistical Association · doi:10.1198/016214502388618401 · Cited by 374 · cited 1×
“For earnings, a portion of the stronger association with wealth among whites is due to their greater representation toward the top of the earnings distribution, where the earnings-wealth association is stronger (Barsky et al. 2002).”
BackgroundCapital for College: Parental Assets and Postsecondary Schooling
Conley, D. (2001) · Sociology of Education · doi:10.2307/2673145 · Cited by 325 · cited 7×
“…et al. 1998; Keister 2000, 2004; Oliver & Shapiro 2006; but see also Hanna et al. 2010), which may contribute to the race gap in wealth as well (Altonji & Doraszelski 2005, Conley 2001b, Gittleman & Wolff 2004, Hurst et al. 1998, Keister 2000, Menchik & Jianakoplos 1997, Oliver & Shapiro 2006).”
BackgroundMethodInfluentialDuflo, E., Gale, W., Liebman, J., Orszag, P. R., & Saez, E. (2006) · The Quarterly Journal of Economics · doi:10.1093/qje/121.4.1311 · Cited by 315
Duflo, E., Gale, W., Liebman, J., Orszag, P., & Saez, E. (2006) · Quarterly Journal of Economics · doi:10.1162/qjec.121.4.1311 · Cited by 314
The Correlation of Wealth across Generations
Charles, K. K., & Hurst, E. (2003) · Journal of Political Economy · doi:10.1086/378526 · Cited by 308
The Transition to Home Ownership and the Black-White Wealth Gap
Charles, K. K., & Hurst, E. (2002) · Review of Economics and Statistics · doi:10.1162/003465302317411532 · Cited by 304 · cited 4×
“…African Americans in lending markets for homes, vehicles, and businesses (Blanchflower et al. 2003, Cavalluzzo & Wolken 2005, Charles et al. 2008, Charles & Hurst 2002, Oliver & Shapiro 2006), including disproportionate rates of subprime mortgage loans among black households leading up to the…”
BackgroundInfluentialTop Wealth Shares in the United States, 1916–2000: Evidence from Estate Tax Returns
Kopczuk, W., & Saez, E. (2004) · National Tax Journal · doi:10.17310/ntj.2004.2s.05 · Cited by 290
Race, Space, and Cumulative Disadvantage: A Case Study of the Subprime Lending Collapse
Rugh, J. S., Albright, L., & Massey, D. S. (2015) · Social Problems · doi:10.1093/socpro/spv002 · Cited by 286 · cited 2×
“Neighborhood segregation increased African Americans’ risk of receiving a subprime loan and experiencing home foreclosure (Hwang et al. 2015, Rugh et al. 2015, Rugh & Massey 2010), which may explain disproportionate wealth losses by black households during the Great Recession (Kochhar et al. 2011,…”
BackgroundKeister, L. A. (2003) · Social Forces · doi:10.1353/sof.2003.0094 · Cited by 285 · cited 4×
“Education is associated with greater wealth and more rapid wealth accumulation, net of income (Conley 2001b; Conley & Ryvicker 2004; Keister 2003a,b, 2004; Yamokoski & Keister 2006).”
BackgroundInfluentialLIQUIDITY CONSTRAINTS, HOUSEHOLD WEALTH, AND ENTREPRENEURSHIP REVISITED
FAIRLIE, R. W., & KRASHINSKY, H. A. (2012) · Review of Income and Wealth · doi:10.1111/j.1475-4991.2011.00491.x · Cited by 281 · cited 1×
“Individuals’ own wealth also speeds transitions to homeownership (Di & Liu 2007, Killewald & Bryan 2016) and facilitates self-employment (Fairlie & Krashinsky 2012, but see also Hurst & Lusardi 2004).”
BackgroundThe measurement and structure of household wealth
Juster, F. T., Smith, J. P., & Stafford, F. (1999) · Labour Economics · doi:10.1016/s0927-5371(99)00012-3 · Cited by 275
Housing and wealth inequality: Racial-ethnic differences in home equity in the United States
Krivo, L. J., & Kaufman, R. L. (2004) · Demography · doi:10.1353/dem.2004.0023 · Cited by 274
Wealth Disparities Before and After the Great Recession
Pfeffer, F. T., Danziger, S., & Schoeni, R. F. (2013) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716213497452 · Cited by 273
Self-citationSmall Business Loan Turndowns, Personal Wealth, and Discrimination*
Cavalluzzo, K., & Wolken, J. (2005) · The Journal of Business · doi:10.1086/497045 · Cited by 270
Xie, Y., & Jin, Y. (2015) · Chinese Sociological Review · doi:10.1080/21620555.2015.1032158 · Cited by 266 · cited 1×
“F or p er so na l u se o nl y. SO43CH18-Killewald ARI 20 July 2017 12:29 Survey Programme are multinational datasets that facilitate comparisons across many Western countries, but the availability of wealth data is expanding even to transition and developing countries (Davies 2008, Xie & Jin 2015).”
BackgroundPublic Health Insurance and Private Savings
Gruber, J., & Yelowitz, A. (1999) · Journal of Political Economy · doi:10.1086/250096 · Cited by 261
BLACK‐WHITE WEALTH INEQUALITY: IS INHERITANCE THE REASON?
MENCHIK, P. L., & JIANAKOPLOS, N. A. (1997) · Economic Inquiry · doi:10.1111/j.1465-7295.1997.tb01920.x · Cited by 243 · cited 5×
“The race gap in income (or earnings) is a substantial contributor to the race gap in wealth (Barsky et al. 2002, Campbell & Kaufman 2006, Menchik & Jianakoplos 1997).”
BackgroundInfluentialRacial Differences in Patterns of Wealth Accumulation
Gittleman, M., & Wolff, E. N. (2004) · The Journal of Human Resources · doi:10.2307/3559010 · Cited by 242
The Impact of Socioeconomic Status on Health over the Life-Course
Smith, J. P. (2007) · The Journal of Human Resources · doi:10.3368/jhr.xlii.4.739 · Cited by 241 · cited 1×
“Yet other scholars argue that the association between wealth and subsequent health changes or mortality is spurious (or nearly so) or specific to particular health conditions (Adams et al. 2003, Banks et al. 2010, Smith 2007).”
BackgroundLow-income Homeownership: American Dream or Delusion?
Shlay, A. B. (2006) · Urban Studies · doi:10.1080/00420980500452433 · Cited by 240 · cited 1×
“…creation of a secondary mortgage market through Fannie Mae and Freddie Mac, and the mortgage interest deduction, federal policy has expanded the proportion of Americans who could afford homeownership and likely increased the average size and value of homes purchased (for a review, see Shlay 2006).”
BackgroundFlippen, C. (2004) · Social Forces · doi:10.1353/sof.2004.0069 · Cited by 239 · cited 2×
“Wealth gains from homeownership and home appreciation rates vary by period, race, neighborhood, and region, yet homeownership appears to generate wealth for most households (Flippen 2004, Killewald & Bryan 2016, Oliver & Shapiro 2006).”
BackgroundThe Wealth Dynamics of American Families, 1984-94
Hurst, E., Luoh, M. C., Stafford, F. P., & Gale, W. G. (1998) · Brookings Papers on Economic Activity · doi:10.2307/2534673 · Cited by 231 · cited 6×
“…et al. 1998; Keister 2000, 2004; Oliver & Shapiro 2006; but see also Hanna et al. 2010), which may contribute to the race gap in wealth as well (Altonji & Doraszelski 2005, Conley 2001b, Gittleman & Wolff 2004, Hurst et al. 1998, Keister 2000, Menchik & Jianakoplos 1997, Oliver & Shapiro 2006).”
BackgroundMethodInfluentialBlack–White Achievement Gap and Family Wealth
Yeung, W. J., & Conley, D. (2008) · Child Development · doi:10.1111/j.1467-8624.2007.01127.x · Cited by 230
(1998) · RePEc: Research Papers in Economics · Cited by 212
Friedline, T., Masa, R. D., & Chowa, G. A. N. (2015) · Social Science Research · doi:10.1016/j.ssresearch.2014.08.018 · Cited by 201 · cited 4×
“An alternative is the inverse hyperbolic sine (IHS) transformation, which can incorporate zero and negative values, generating a function that is approximately linear close to zero and approximately logarithmic for large values (Friedline et al. 2015, Pence 2006).”
BackgroundInfluentialConservative Protestants and Wealth: How Religion Perpetuates Asset Poverty
Keister, L. A. (2008) · American Journal of Sociology · doi:10.1086/525506 · Cited by 198 · cited 2×
“Conservative Protestants and wealth: how religion perpetuates asset poverty.”
BackgroundDebt, Cohabitation, and Marriage in Young Adulthood
Addo, F. R. (2014) · Demography · doi:10.1007/s13524-014-0333-6 · Cited by 192 · cited 2×
“In terms of family structure, young adults’ own wealth supports marriage, whereas debt encourages cohabitation (Addo 2014, Schneider 2011).”
BackgroundKeister, L. A. (2014) · Annual Review of Sociology · doi:10.1146/annurev-soc-070513-075314 · Cited by 190 · cited 1×
“Several recent studies have described the increasing concentration of wealth at the very top of the distribution (Kopczuk & Saez 2004, Saez & Zucman 2016), including an ARS article focused on the one percent (Keister 2014).”
BackgroundIs the Motherhood Penalty Larger for Low-Wage Women? A Comment on Quantile Regression
Killewald, A. A., & Bearak, J. (2014) · American Sociological Review · doi:10.1177/0003122414524574 · Cited by 189 · cited 1×
“The first, unconditional quantile regression, estimates how changes in independent variables are associated with changes in various quantiles of the outcome variable, net of control variables (Firpo et al. 2009, Killewald & Bearak 2014).”
BackgroundSelf-citationGrand Advantage: Family Wealth and Grandchildren’s Educational Achievement in Sweden
Hällsten, M., & Pfeffer, F. T. (2017) · American Sociological Review · doi:10.1177/0003122417695791 · Cited by 187 · cited 3×
“Conceptualizing family more broadly, the wealth of grandparents is associated with own educational attainment and wealth, net of parental wealth (Hällsten & Pfeffer 2017, Pfeffer & Killewald 2015), and extended family wealth is associated with education, transition to homeownership, and own wealth…”
Self-citationSchneider, D. (2011) · American Journal of Sociology · doi:10.1086/661594 · Cited by 182
Keister, L. A. (2000) · Social Science Research · doi:10.1006/ssre.2000.0677 · Cited by 171 · cited 3×
“…2017 12:29 Whites have higher rates of ownership of risky assets, such as stocks and businesses, net of other characteristics (Hurst et al. 1998; Keister 2000, 2004; Oliver & Shapiro 2006; but see also Hanna et al. 2010), which may contribute to the race gap in wealth as well (Altonji &…”
BackgroundMarriage and divorce’s impact on wealth
Zagorsky, J. L. (2005) · Journal of Sociology · doi:10.1177/1440783305058478 · Cited by 171 · cited 1×
“…than unmarried individuals, women who are married only once have more wealth than those who divorce and remarry, and in both cases differences are not entirely explained by other characteristics, including income (Addo & Lichter 2013, Ruel & Hauser 2013, Yamokoski & Keister 2006, Zagorsky 2005).”
BackgroundPersonal Wealth from a Global Perspective
(2008) · doi:10.1093/acprof:oso/9780199548880.001.0001 · Cited by 163 · cited 1×
“F or p er so na l u se o nl y. SO43CH18-Killewald ARI 20 July 2017 12:29 Survey Programme are multinational datasets that facilitate comparisons across many Western countries, but the availability of wealth data is expanding even to transition and developing countries (Davies 2008, Xie & Jin 2015).”
BackgroundExplaining the Gender Wealth Gap
Ruel, E., & Hauser, R. M. (2013) · Demography · doi:10.1007/s13524-012-0182-0 · Cited by 161 · cited 2×
“Income and employment differences play key roles in explaining the gap, although female-headed households’ lower savings rates (Conley & Ryvicker 2004) and women’s investments in safer, lower-yield assets (Chang 2010, Ruel & Hauser 2013) may also contribute.”
BackgroundDifferential Mortality and Wealth Accumulation
Attanasio, O. P., & Hoynes, H. W. (2000) · The Journal of Human Resources · doi:10.2307/146354 · Cited by 159
The Role of Bequests in Shaping Wealth Inequality: Evidence from Danish Wealth Records
Boserup, S. H., Kopczuk, W., & Kreiner, C. T. (2016) · American Economic Review · doi:10.1257/aer.p20161036 · Cited by 159 · cited 1×
“For instance, whether bequests increase wealth inequality (Boserup et al. 2016, Karagiannaki 2017) and whether whites experience greater wealth benefits of homeownership than African Americans and Hispanics (Killewald & Bryan 2016) depend on whether comparisons are made in absolute or relative…”
BackgroundJohnson, H. B. (2006) · Cited by 158
Examining the gender wealth gap
Sierminska, E. M., Frick, J. R., & Grabka, M. M. (2010) · Oxford Economic Papers · doi:10.1093/oep/gpq007 · Cited by 152 · cited 2×
“Sierminska et al. (2010) use this approach to simulate how the gender gap in wealth would change at different points in the distribution if partnered women had the same characteristics as partnered men.”
BackgroundMethodRiding the Stagecoach to Hell: A Qualitative Analysis of Racial Discrimination in Mortgage Lending
Massey, D. S., Rugh, J. S., Steil, J. P., & Albright, L. (2016) · City & Community · doi:10.1111/cico.12179 · Cited by 150 · cited 11×
“We have already touched on several plausibly salient macro factors, such as the rate of return relative to economic growth and the Great Recession.”
BackgroundInfluentialYamokoski, A., & Keister, L. A. (2006) · Feminist Economics · doi:10.1080/13545700500508478 · Cited by 143
Where wealth matters more for health: The wealth–health gradient in 16 countries
Semyonov, M., Lewìn-Epstein, N., & Maskileyson, D. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.01.010 · Cited by 136 · cited 1×
“Among older adults, wealth is negatively associated with mortality (Attanasio & Hoynes 2000, Bond Huie et al. 2003) and positively associated with maintaining good health (Hurd & Kapteyn 2003, Semyonov et al. 2013).”
BackgroundThe Role of Permanent Income and Demographics in Black/White Differences in Wealth
Altonji, J. G., & Doraszelski, U. (2005) · Journal of Human Resources · doi:10.3368/jhr.xl.1.1 · Cited by 135 · cited 3×
“African Americans’ wealth appears less responsive than whites’ to their traits, including income, education, and marital history (Addo & Lichter 2013, Altonji & Doraszelski 2005, Campbell & Kaufman 2006, Oliver & Shapiro 2006).”
BackgroundAssets for the poor: the benefits of spreading asset ownership
(2002) · Choice Reviews Online · doi:10.5860/choice.39-3489 · Cited by 131
Racial and Ethnic Inequality in Homeownership and Housing Equity
Flippen, C. A. (2001) · The Sociological Quarterly · doi:10.1111/j.1533-8525.2001.tb00028.x · Cited by 129 · cited 2×
“Compared with whites, Hispanics have lower rates of homeownership, transition to homeownership more slowly, have higher rates of homeownership exit, possess less home equity, and experience smaller wealth benefits from homeownership (Flippen 2001, Killewald & Bryan 2016, Krivo & Kaufman 2004).”
BackgroundBeckert, J. (2008) · doi:10.1515/9780691187402 · Cited by 127
Depleting Capital?: Race, Wealth and Informal Financial Assistance
O'Brien, R. L. (2012) · Social Forces · doi:10.1093/sf/sos132 · Cited by 117 · cited 2×
“An alternative approach is to model wealth accumulation rather than net worth, using either lagged dependent variables or change models (e.g., Conley 2001b, Hurst et al. 1998, McKernan et al. 2014, O’Brien 2012).”
BackgroundMethodMarriage, Marital History, and Black – White Wealth Differentials Among Older Women
Addo, F. R., & Lichter, D. T. (2013) · Journal of Marriage and Family · doi:10.1111/jomf.12007 · Cited by 117 · cited 4×
“Race differences in marital histories may also contribute to the racial wealth gap (Addo & Lichter 2013, Campbell & Kaufman 2006), although endogeneity concerns persist.”
BackgroundInfluentialRace, Family Structure, and Wealth: The Effect of Childhood Family on Adult Asset Ownership
Keister, L. A. (2004) · Sociological Perspectives · doi:10.1525/sop.2004.47.2.161 · Cited by 116 · cited 2×
“…2017 12:29 Whites have higher rates of ownership of risky assets, such as stocks and businesses, net of other characteristics (Hurst et al. 1998; Keister 2000, 2004; Oliver & Shapiro 2006; but see also Hanna et al. 2010), which may contribute to the race gap in wealth as well (Altonji &…”
BackgroundInheritance and Inequality: Theoretical Reasoning and Empirical Evidence
Szydlik, M. (2004) · European Sociological Review · doi:10.1093/esr/20.1.31 · Cited by 116 · cited 1×
“Socialist systems limit the accumulation of private wealth, diminishing the role of inheritance for asset accumulation (Szydlik 2004).”
BackgroundDo homeowners achieve more household wealth in the long run?
Di, Z. X., Belsky, E. S., & Liu, X. (2007) · Journal of Housing Economics · doi:10.1016/j.jhe.2007.08.001 · Cited by 114 · cited 1×
“The wealth benefits of homeownership persist even after accounting for prior wealth levels and prior savings rates (Di et al. 2007, Killewald & Bryan 2016).”
BackgroundThe Effects of Health Events on the Economic Status of Married Couples
Wu, S. (2003) · The Journal of Human Resources · doi:10.2307/1558762 · Cited by 113
Spilerman, S., & Wolff, F.-C. (2012) · Social Science Research · doi:10.1016/j.ssresearch.2011.08.002 · Cited by 111
Racial differences in household wealth: Beyond Black and White
Campbell, L. A., & Kaufman, R. L. (2006) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2005.06.001 · Cited by 109
Rates for Vehicle Loans: Race and Loan Source
Charles, K. K., Hurst, E., & Stephens, M. (2008) · American Economic Review · doi:10.1257/aer.98.2.315 · Cited by 108 · cited 1×
“…discrimination against African Americans in lending markets for homes, vehicles, and businesses (Blanchflower et al. 2003, Cavalluzzo & Wolken 2005, Charles et al. 2008, Charles & Hurst 2002, Oliver & Shapiro 2006), including disproportionate rates of subprime mortgage loans among black households…”
BackgroundSharing the Wealth: The Effect of Siblings on Adults' Wealth Ownership
Keister, L. A. (2003) · Demography · doi:10.1353/dem.2003.0026 · Cited by 107 · cited 4×
“Education is associated with greater wealth and more rapid wealth accumulation, net of income (Conley 2001b; Conley & Ryvicker 2004; Keister 2003a,b, 2004; Yamokoski & Keister 2006).”
BackgroundInfluentialVespa, J. (2012) · Demography · doi:10.1007/s13524-012-0102-3 · Cited by 104 · cited 1×
“Among older, previously married Americans, wealth accelerates both cohabitation and remarriage (Vespa 2012).”
BackgroundUpward Wealth Mobility: Exploring the Roman Catholic Advantage
Keister, L. A. (2007) · Social Forces · doi:10.1353/sof.2007.0044 · Cited by 101
Bond Huie, S. A., Krueger, P. M., Rogers, R. G., & Hummer, R. A. (2003) · Social Science Quarterly · doi:10.1111/1540-6237.8403011 · Cited by 100 · cited 1×
“Building on prior publications, Piketty shows that wealth inequality has followed a U-shaped trajectory across most developed countries since 1900, with the upswing occurring in the United States since about 1970 and in Europe since about 1980. Piketty traces the preceding declines in wealth inequality to war-induced…”
BackgroundConley, D. (2001) · Sociological Inquiry · doi:10.1111/j.1475-682x.2001.tb00927.x · Cited by 96 · cited 7×
“…et al. 1998; Keister 2000, 2004; Oliver & Shapiro 2006; but see also Hanna et al. 2010), which may contribute to the race gap in wealth as well (Altonji & Doraszelski 2005, Conley 2001b, Gittleman & Wolff 2004, Hurst et al. 1998, Keister 2000, Menchik & Jianakoplos 1997, Oliver & Shapiro 2006).”
BackgroundMethodInfluentialSelf-Made Wealth or Family Wealth? Changes in Intergenerational Wealth Mobility
Hansen, M. N. (2014) · Social Forces · doi:10.1093/sf/sou078 · Cited by 96 · cited 4×
“Scandinavian administrative data sources are particularly powerful because they provide very high-quality wealth measures based on tax registers, often allowing the tracking of individuals across their life course and of families across generations for the full population (e.g., Hällsten & Pfeffer 2017 for Sweden and…”
BackgroundInfluentialLifetime Inheritances of Three Generations of Whites and Blacks
Avery, R. B., & Rendall, M. S. (2002) · American Journal of Sociology · doi:10.1086/344840 · Cited by 95 · cited 1×
“…of parents and extended family members, and inheritances, also contribute to the black-white wealth gap and to whites’ higher rates of homeownership (Avery & Rendall 2002, Charles & Hurst 2002, Conley 2001b, Gittleman & Wolff 2004, Hall & Crowder 2011, McKernan et al. 2014, Menchik & Jianakoplos…”
BackgroundThe Effect of Housing Wealth on College Choice: Evidence from the Housing Boom
Lovenheim, M., & Reynolds, C. L. (2012) · National Bureau of Economic Research · doi:10.3386/w18075 · Cited by 95
Mills, G., Gale, W. G., Patterson, R., Engelhardt, G. V., Eriksen, M. D., & Apostolov, E. (2008) · Journal of Public Economics · doi:10.1016/j.jpubeco.2007.09.014 · Cited by 94 · cited 1×
“…affect net worth—or merely incentivize the build-up of specific asset components at the expense of others—is less clear, and these effects are small relative to the scope of US wealth inequality (Duflo et al. 2006, Grinstein-Weiss et al. 2014, Mills et al. 2008, Schreiner & Sherraden 2007).”
BackgroundDouble Jeopardy: Why Latinos Were Hit Hardest by the US Foreclosure Crisis
Rugh, J. S. (2015) · Social Forces · doi:10.1093/sf/sou107 · Cited by 93 · cited 3×
“…have increased these risks (Hwang et al. 2015), as did the timing and geographic settlement patterns of Hispanic immigrants, many of whom arrived in the sand states (Arizona, California, Florida, and Nevada) and entered the suburban homeownership market at the peak of the housing boom (Rugh 2015).”
BackgroundMcKernan, S.-M., Ratcliffe, C., Simms, M., & Zhang, S. (2014) · Demography · doi:10.1007/s13524-014-0296-7 · Cited by 92
Return to Being Black, Living in the Red: A Race Gap in Wealth That Goes Beyond Social Origins
Killewald, A. (2013) · Demography · doi:10.1007/s13524-012-0190-0 · Cited by 92 · cited 2×
“The association with wealth is stronger at higher income and earnings levels (Barsky et al. 2002, Killewald 2013).”
BackgroundSelf-citationRacial and Spatial Targeting: Segregation and Subprime Lending within and across Metropolitan Areas
Hwang, J., Hankinson, M., & Brown, K. S. (2015) · Social Forces · doi:10.1093/sf/sou099 · Cited by 92
Can’t afford a baby? Debt and young Americans
Nau, M., Dwyer, R. E., & Hodson, R. (2015) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2015.05.003 · Cited by 91 · cited 2×
“Nau et al. (2015) consider how different types of debt are associated with fertility timing.”
BackgroundShortchanged: Why Women Have Less Wealth and What Can Be Done About It
Chang, M. L. (2010) · doi:10.1093/acprof:oso/9780195367690.001.0001 · Cited by 88
The Measurement of saving, investment, and wealth
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5863 · Cited by 87
Measuring wealth and wealth inequality: Comparing two U.S. surveys
Pfeffer, F. T., Schoeni, R. F., Kennickell, A. B., & Andreski, P. M. (2016) · Journal of Economic and Social Measurement · doi:10.3233/jem-160421 · Cited by 84
Self-citationWays to Richness: Determination of Household Wealth in 16 Countries
Semyonov, M., & Lewìn-Epstein, N. (2013) · European Sociological Review · doi:10.1093/esr/jct001 · Cited by 82 · cited 2×
“More specific institutional and economic determinants of wealth levels and inequality are yet to be identified (Semyonov & Lewin-Epstein 2013).”
BackgroundHow Wealth Inequality Shapes Our Future
Pfeffer, F. T., & Schoeni, R. F. (2016) · RSF The Russell Sage Foundation Journal of the Social Sciences · doi:10.7758/rsf.2016.2.6.01 · Cited by 79
Self-citationPersistence, Privilege, and Parenting: The Comparative Study of Intergenerational Mobility.
Smeeding, T., Erikson, R., & Jäntti, M. (2011) · Choice Reviews Online · doi:10.5860/choice.49-6398 · Cited by 77
Disease prevalence, disease incidence, and mortality in the United States and in England
Banks, J. W., Muriel, A., & Smith, J. P. (2010) · Demography · doi:10.1353/dem.2010.0008 · Cited by 73 · cited 1×
“Yet other scholars argue that the association between wealth and subsequent health changes or mortality is spurious (or nearly so) or specific to particular health conditions (Adams et al. 2003, Banks et al. 2010, Smith 2007).”
The Impact of Inheritance on the Distribution of Wealth: Evidence from G reat B ritain
Karagiannaki, E. (2015) · Review of Income and Wealth · doi:10.1111/roiw.12217 · Cited by 72 · cited 2×
“For instance, whether bequests increase wealth inequality (Boserup et al. 2016, Karagiannaki 2017) and whether whites experience greater wealth benefits of homeownership than African Americans and Hispanics (Killewald & Bryan 2016) depend on whether comparisons are made in absolute or relative…”
BackgroundWelfare Reform, Saving, and Vehicle Ownership: Do Asset Limits and Vehicle Exemptions Matter?
Sullivan, J. X. (2006) · Journal of Human Resources · doi:10.3368/jhr.xli.1.72 · Cited by 71
National patterns of income and wealth inequality
Skopek, N., Buchholz, S., & Blossfeld, H.-P. (2014) · International Journal of Comparative Sociology · doi:10.1177/0020715214565674 · Cited by 70 · cited 1×
“Cross-country differences in the distribution of wealth diverge from those based on income ( Jäntti et al. 2008, Skopek et al. 2014).”
BackgroundExtended-family resources and racial inequality in the transition to homeownership
Hall, M., & Crowder, K. (2011) · Social Science Research · doi:10.1016/j.ssresearch.2011.07.002 · Cited by 67 · cited 2×
“…of grandparents is associated with own educational attainment and wealth, net of parental wealth (Hällsten & Pfeffer 2017, Pfeffer & Killewald 2015), and extended family wealth is associated with education, transition to homeownership, and own wealth (Hall & Crowder 2011, Prix & Pfeffer 2017).”
BackgroundDo Welfare Asset Limits Affect Household Saving?: Evidence from Welfare Reform
Hurst, E., & Ziliak, J. P. (2006) · Journal of Human Resources · doi:10.3368/jhr.xli.1.46 · Cited by 64
Wealth of Immigrant and Native-Born Americans
Hao, L. (2004) · International Migration Review · doi:10.1111/j.1747-7379.2004.tb00208.x · Cited by 63 · cited 1×
“In the United States, variation in wealth by nativity status is modest compared with variation by race-ethnicity and national origin (Hao 2004, 2007).”
BackgroundEmerging Forms of Racial Inequality in Homeownership Exit, 1968–2009
Sharp, G., & Hall, M. (2014) · Social Problems · doi:10.1525/sp.2014.12161 · Cited by 61 · cited 1×
“…values, have less housing equity, and exit homeownership at higher rates; these differences generally persist even after adjusting for race differences in other characteristics (Charles & Hurst 2002; Flippen 2001; Keister 2000, 2004; Killewald & Bryan 2016; Krivo & Kaufman 2004; Sharp & Hall 2014).”
BackgroundSkin Tone, Race/Ethnicity, and Wealth Inequality among New Immigrants
Painter, M. A., Holmes, M. D., & Bateman, J. (2015) · Social Forces · doi:10.1093/sf/sov094 · Cited by 60 · cited 1×
“…naturalization status, English language proficiency, having completed some education in the United States, duration of residence in the United States, and skin tone appear to contribute to variation in immigrants’ net worth (Akresh 2011, Campbell & Kaufman 2006, Painter 2013, Painter et al. 2016).”
BackgroundHealth, Wealth, and the Role of Institutions
Hurd, M. D., & Kapteyn, A. (2003) · The Journal of Human Resources · doi:10.3368/jhr.xxxviii.2.386 · Cited by 60
Family Assets and Child Outcomes: Evidence and Directions
Grinstein-Weiss, M., Williams Shanks, T. R., & Beverly, S. G. (2014) · The Future of Children · doi:10.1353/foc.2014.0002 · Cited by 55 · cited 1×
“…affect net worth—or merely incentivize the build-up of specific asset components at the expense of others—is less clear, and these effects are small relative to the scope of US wealth inequality (Duflo et al. 2006, Grinstein-Weiss et al. 2014, Mills et al. 2008, Schreiner & Sherraden 2007).”
BackgroundThe Differential Impact of Wealth Versus Income in the College-Going Process
Jez, S. J. (2014) · Research in Higher Education · doi:10.1007/s11162-014-9332-0 · Cited by 51 · cited 2×
“…and home value appreciation are positively associated with college enrollment, institutional quality, and bachelor’s degree completion (Conley 2001a, Doren & Grodsky 2016, Jez 2014, Lovenheim & Reynolds 2013), as well as transitions to homeownership (Charles & Hurst 2002, Spilerman & Wolff 2012).”
BackgroundWorkers' Ignorance of Retirement Benefits
Ekerdt, D. J., & Hackney, J. (2002) · The Gerontologist · doi:10.1093/geront/42.4.543 · Cited by 51 · cited 1×
“Given the theoretical centrality of the claim that wealth captures aspects of economic Ekerdt & Hackney 2002).”
BackgroundHealth, Wealth, and the Role of Institutions
Hurd, M., & Kapteyn, A. (2003) · The Journal of Human Resources · doi:10.2307/1558749 · Cited by 51
Color Lines, Country Lines: Race, Immigration, and Wealth Stratification in America
Son, J. (2011) · Contemporary Sociology A Journal of Reviews · doi:10.1177/0094306110391764s · Cited by 50 · cited 1×
“In the United States, variation in wealth by nativity status is modest compared with variation by race-ethnicity and national origin (Hao 2004, 2007).”
BackgroundThe Absorbing Status of Incarceration and its Relationship with Wealth Accumulation
Maroto, M. L. (2015) · Journal of Quantitative Criminology · doi:10.1007/s10940-014-9231-8 · Cited by 47 · cited 1×
“Incarceration is associated with reduced wealth (Maroto 2015), suggesting that racial disparities in incarceration experience may contribute to the racial wealth gap.”
BackgroundWealth accumulation among U.S. immigrants: A study of assimilation and differentials
Akresh, I. R. (2009) · Social Science Research · doi:10.1016/j.ssresearch.2009.08.004 · Cited by 43
Growing Farther Apart: Racial and Ethnic Inequality in Household Wealth Across the Distribution
Maroto, M. (2016) · Sociological Science · doi:10.15195/v3.a34 · Cited by 41 · cited 4×
“In absolute terms, wealth disparities between whites and African Americans are larger at higher points in the wealth distribution (Maroto 2016).”
BackgroundInfluentialWhat Skills Can Buy: Transmission of Advantage through Cognitive and Noncognitive Skills
Doren, C., & Grodsky, E. (2016) · Sociology of Education · doi:10.1177/0038040716667994 · Cited by 40 · cited 2×
“…and home value appreciation are positively associated with college enrollment, institutional quality, and bachelor’s degree completion (Conley 2001a, Doren & Grodsky 2016, Jez 2014, Lovenheim & Reynolds 2013), as well as transitions to homeownership (Charles & Hurst 2002, Spilerman & Wolff 2012).”
Recent developments in longitudinal studies of aging in the United States
Hauser, R. M., & Weir, D. R. (2010) · Demography · doi:10.1353/dem.2010.0012 · Cited by 37 · cited 1×
“For example, HRS matches survey data to administrative data from the Social Security Administration and employer-provided pension data to construct an augmented net worth measure capturing a broader range of resources available for future retirement (Hauser & Weir 2010).”
MethodU . S . Pensions in the 2000s: The Lost Decade?
Wolff, E. N. (2014) · Review of Income and Wealth · doi:10.1111/roiw.12123 · Cited by 33 · cited 10×
“We have already touched on several plausibly salient macro factors, such as the rate of return relative to economic growth and the Great Recession.”
BackgroundInfluentialCapital in the twenty‐first century: a critique
Soskice, D. (2014) · British Journal of Sociology · doi:10.1111/1468-4446.12111 · Cited by 32 · cited 1×
“He attributes the recent increase in wealth inequality to the rate of return to capital overtaking the economic growth rate (for critiques, see Acemoglu & Robinson 2015, Soskice 2014).”
BackgroundImmigrant and native financial well-being: The roles of place of education and race/ethnicity
Painter, M. A. (2013) · Social Science Research · doi:10.1016/j.ssresearch.2013.04.001 · Cited by 32 · cited 1×
“…naturalization status, English language proficiency, having completed some education in the United States, duration of residence in the United States, and skin tone appear to contribute to variation in immigrants’ net worth (Akresh 2011, Campbell & Kaufman 2006, Painter 2013, Painter et al. 2016).”
BackgroundWho Among the Elderly Owns Stocks? The Role of Cognitive Ability and Bequest Motive
Kim, E. J., Hanna, S. D., Chatterjee, S., et al. (2012) · Journal of Family and Economic Issues · doi:10.1007/s10834-012-9295-2 · Cited by 32 · cited 1×
“Alternatively, education may affect wealth through the positive association between education and ownership of assets with higher risks and returns (Hanna et al. 2010, Kim et al. 2012).”
BackgroundRURAL AND URBAN POVERTY: AN INCOME/NET WORTH APPROACH
Lerman, D. L., & Mikesell, J. J. (1988) · Review of Policy Research · doi:10.1111/j.1541-1338.1988.tb00895.x · Cited by 32 · cited 1×
“The typically cited estimate is based on an endnote in Lerman & Mikesell (1988) (cited in Keister & Moller 2000), which is thin on empirical detail (see also Dı́az-Giménez et al. 1997).”
BackgroundMexican American Mobility: Early Life Processes and Adult Wealth Ownership
Keister, L. A., Vallejo, J. A., & Borelli, E. P. (2015) · Social Forces · doi:10.1093/sf/sou102 · Cited by 31 · cited 1×
“…Puerto Ricans; Mexican Americans who have resided in the United States for three generations or more accumulate greater wealth by midlife, on average, than second-generation Mexican immigrants, and both groups exceed first-generation Mexican immigrants in median net worth (Keister et al. 2015).”
BackgroundEvaluating Micro-Survey Estimates of Wealth and Saving
Bosworth, B., & Smart, R. (2009) · doi:10.2139/ssrn.1368830 · Cited by 26 · cited 1×
“The PSID and Health and Retirement Study (HRS) compare favorably to the SCF up until at least the 95th percentile of the wealth distribution (Bosworth & Smart 2009, Juster et al. 1999, Pfeffer et al. 2016), whereas the Survey of Income and Program Participation wealth data diverge more sharply…”
MethodPrix, I., & Pfeffer, F. T. (2017) · Edward Elgar Publishing eBooks · doi:10.4337/9781786432568.00013 · Cited by 20
Self-citationThe Transportation of the American Pension System: Was It Beneficial for Workers?
Wolff, E. N. (2011) · doi:10.17848/9780880993906 · Cited by 13 · cited 10×
“We have already touched on several plausibly salient macro factors, such as the rate of return relative to economic growth and the Great Recession.”
BackgroundInfluentialThe Effects of Health and Wealth Shocks on Retirement Decisions
Conley, D., & Thompson, J. (2013) · Review · doi:10.20955/r.95.389-404 · Cited by 10
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Metadata
- Authors
- Killewald, A., Pfeffer, F. T., & Schachner, J. N.
- Affiliations
- Harvard University (US)
- University of Michigan (US)
- Corresponding author
- Killewald, Alexandra
- Venue
- Annual Review of Sociology
- Publisher
- Annual Reviews
- Published
- 2017-07-31
- Volume
- 43
- Issue
- 1
- Pages
- 379-404
- ISSN
- 0360-0572 (ISSN-L)
- 1545-2115
- PMC
- PMC5546759
- OpenAlex
- W2538902588
- Cited by
- 482
- References
- 129
- Citations by year
- 2026: 55 · 2025: 65 · 2024: 68 · 2023: 51 · 2022: 56 · 2021: 59 · 2020: 61 · 2019: 31 · 2018: 29 · 2017: 6
- FWCI
- 7.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annual Review of Sociology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (1157698)
- National Institutes of Health (1157698)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD041028, P2CHD041028, R01HD069609)
- Topics
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- wealth inequality, wealth accumulation, skewed distributions, causal inference, social stratification
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