Educational policy and intergenerational mobility
Open accessAbstract
In the United States, there is considerable variation in intergenerational mobility across states. We argue that the distribution of public school spending across school districts under public school finance systems affects intergenerational mobility within the United States. We build a dynamic model in which school districts vote over public school spending per pupil taking the finance system as given. We embed this model with median voting at the district level within a fairly standard model of human capital accumulation. Our model can replicate the relationship between the distribution of public school spending and intergenerational mobility observed in data. Furthermore, three counterfactual simulations suggest that i) the correlation between parental human capital and a child's learning ability plays a significant role in explaining the cross-state variation in intergenerational mobility, ii) a more equal distribution of public school spending under a foundation program by relaxing a borrowing constraint improves intergenerational mobility, especially when a child's learning ability is not highly dependent on parental human capital, and iii) switching to a full state funding program improves intergenerational mobility, but not enormously. This is because full state funding limits public school spending, which hinders intergenerational mobility.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
States where public school funding is decided at the local rather than the state level see more unequal spending on public schools and lower social mobility.
“States where public school funding is decided at the local rather than the state level see more unequal spending on public schools and lower social mobility.”
From Educational Inequality* (2022) · cites this paper as Kotera and Seshadri (2017)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 20
- Becker GS, Tomes N, 1979 An equilibrium theory of the distribution of income and intergenerational mobility. Journal of Political Economy 87 (6), 1153– 1189.
- Becker GS, Tomes N, 1986 Human capital and the rise and fall of families. Journal of Labor Economics 4 (3), S1– S39. 12146356
- Ben-Porath Y, 1967 The production of human capital and the life cycle of earnings. Journal of Political Economy 75, 352– 365.
- Card D, Payne AA, 2002 School finance reform, the distribution of school spending, and the distribution of student test scores. Journal of Public Economics 83 (1), 49– 82.
- Chetty R, Hendren N, Kline P, Saez E, 2014 Where is the land of opportunity? The geography of intergenerational mobility in the United States. The Quarterly Journal of Economics 129 (4), 1553– 1623.
- Corak M, 2013 Income inequality, equality of opportunity, and intergenerational mobility. The Journal of Economic Perspectives 27 (3), 79– 102.
- Cunha F, Heckman J, 2007 The technology of skill formation. The American Economic Review 97 (2), 31– 47.
- Epple D, Ferreyra MM, 2008 School finance reform: assessing general equilibrium effects. Journal of Public Economics 92 (5), 1326– 1351.
- Fernandez R, Rogerson R, 1998 Public education and income distribution: a dynamic quantitative evaluation of education-finance reform. The American Economic Review 88 (4), 813– 833.
- Fernandez R, Rogerson R, 1999 Education finance reform and investment in human capital: lessons from California. Journal of Public Economics 74 (3), 327– 350.
- Fernandez R, Rogerson R, 2003 Equity and resources: an analysis of education finance systems. Journal of Political Economy 111 (4), 858– 897.
- Ferreyra MM, 2009 An empirical framework for large-scale policy analysis, with an application to school finance reform in Michigan. American Economic Journal: Economic Policy 1 (1), 147– 180.
- Holter HA, 2015 Accounting for cross-country differences in intergenerational earnings persistence: the impact of taxation and public education expenditure. Quantitative Economics 6 (2), 385– 428.
- Hoxby CM, 2001 All school finance equalizations are not created equal. The Quarterly Journal of Economics 116 (4), 1189– 1231.
- Jackson CK, Johnson RC, Persico C, 2016 The effects of school spending on educational and economic outcomes: evidence from school finance reforms. The Quarterly Journal of Economics 131 (1), 157– 218.
- Mazumder B, 2005 Fortunate sons: new estimates of intergenerational mobility in the United States using social security earnings data. Review of Economics and Statistics 87 (2), 235– 255.
- Mincer JA, 1974 Age and experience profiles of earnings. In: Schooling, Experience, and Earnings. NBER, pp. 64– 82.
- Newey WK, McFadden D, 1994 Large sample estimation and hypothesis testing. In: Handbook of Econometrics, vol. 4, pp. 2111– 2245.
- Restuccia D, Urrutia C, 2004 Intergenerational persistence of earnings: the role of early and college education. The American Economic Review 94 (5), 1354– 1378.
- Solon G, 1992 Intergenerational income mobility in the United States. The American Economic Review 82 (3), 393– 408.
Cited by
Sorted by citations
The Long-Term Distributional and Welfare Effects of Covid-19 School Closures
Fuchs-Schündeln, N., Krueger, D., Ludwig, A., & Popova, I. (2020) · doi:10.3386/w27773 · Cited by 84 · see citing works
Blanden, J., Doepke, M., & Stuhler, J. (2022) · National Bureau of Economic Research · doi:10.3386/w29979 · Cited by 47 · see citing works
“In most high-income countries, economic inequality has risen substantially in recent decades (see, for example, Krueger et al., 2010). If the cross-sectional relationship between inequality and social mobility also held within countries over time, we would expect social mobility to have declined over the same period.…”
BackgroundThe Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures
Fuchs-Schündeln, N., Krueger, D., Kurmann, A., Lalé, E., Ludwig, A., & Popova, I. (2023) · IMF Economic Review · doi:10.1057/s41308-022-00196-2 · Cited by 33 · see citing works
“̄?s for j > 0 and calibrate it exogenously according to the estimates for the US by Kotera and Seshadri (2017) – who estimate the parameters of a CES nesting of private and public education investments similar to ours – giving ?”
Influential
- Authors
- Kotera, T., & Seshadri, A.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Kotera, Tomoaki
- ORCID
- Kotera, Tomoaki
- Venue
- Review of Economic Dynamics
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 25
- Pages
- 187-207
- ISSN
- 1094-2025 (ISSN-L)
- PMC
- PMC6234018
- OpenAlex
- W2550399851
- Cited by
- 36
- References
- 0
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 7 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 6 · 2018: 2 · 2017: 1
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Review of Economic Dynamics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD047873)
- Topics
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Politics, Economics, and Education Policy
- Keywords
- intergenerational mobility, public school funding, school district expenditures, education policy, human capital accumulation, parental human capital, learning ability, government funding, credit constraints, state-level variation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review