The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Income and Wealth Inequality in America, 1949–2016
Open accessAbstract
This paper introduces a new long-run dataset based on archival data from historical waves of the Survey of Consumer Finances. The household-level data allow us to study the joint distributions of household income and wealth since 1949. We expose the central importance of portfolio composition and asset prices for wealth dynamics in postwar America. Asset prices shift the wealth distribution because the composition and leverage of household portfolios differ systematically along the wealth distribution. Middle-class portfolios are dominated by housing, while rich households predominantly own equity. An important consequence is that the top and the middle of the distribution are affected differentially by changes in equity and house prices. Housing booms lead to substantial wealth gains for leveraged middle-class households and tend to decrease wealth inequality, all else equal. Stock market booms primarily boost the wealth of households at the top of the distribution. This race between the equity market and the housing market shaped wealth dynamics in postwar America and decoupled the income and wealth distribution over extended periods. The historical data also reveal that no progress has been made in reducing income and wealth inequalities between black and white households over the past 70 years, and that close to half of all American households have less wealth today in real terms than the median household had in 1970.
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Cites
Income Inequality in the United States, 1913-1998
Piketty, T., & Saez, E. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360535135 · Cited by 3,769
Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking?
Malmendier, U., & Nagel, S. (2011) · The Quarterly Journal of Economics · doi:10.1093/qje/qjq004 · Cited by 2,480
Income and Wealth Heterogeneity in the Macroeconomy
Krusell, P., & Smith, Jr. (1998) · Journal of Political Economy · doi:10.1086/250034 · Cited by 2,255
Wealth 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
Distributional National Accounts: Methods and Estimates for the United States*
Piketty, T., Saez, E., & Zucman, G. (2018) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx043 · Cited by 1,141
Board of Governors of the Federal Reserve System
(2001) · Choice Reviews Online · doi:10.5860/choice.38sup-465 · Cited by 1,130
Dynan, K. E., Skinner, J., & Zeldes, S. P. (2004) · Journal of Political Economy · doi:10.1086/381475 · Cited by 1,019
A Model of the Consumption Response to Fiscal Stimulus Payments
(2014) · Econometrica · doi:10.3982/ecta10528 · Cited by 966
Unequal we stand: An empirical analysis of economic inequality in the United States, 1967–2006
Heathcote, J., Perri, F., & Violante, G. L. (2010) · Review of Economic Dynamics · doi:10.1016/j.red.2009.10.010 · Cited by 875
Accounting for the U.S. Earnings and Wealth Inequality
Castañeda, A., Díaz‐Giménez, J., & Ríos‐Rull, J. (2003) · Journal of Political Economy · doi:10.1086/375382 · Cited by 717
Cited by
Zucman, G. (2019) · Annual Review of Economics · doi:10.1146/annurev-economics-080218-025852 · Cited by 339
Wealth Inequality and the Racial Wealth Gap
Aladangady, A., & Forde, A. (2021) · FEDS Notes · doi:10.17016/2380-7172.2861 · Cited by 70
Identifying the Benefits from Homeownership: A Swedish Experiment
Sodini, P., Van Nieuwerburgh, S., Vestman, R., & von Lilienfeld-Toal, U. (2016) · doi:10.3386/w22882 · Cited by 58
Metadata
- Authors
- Kuhn, M., Schularick, M., & Steins, U. I.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 2020-09-01
- Volume
- 128
- Issue
- 9
- Pages
- 3469-3519
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2918125583
- Cited by
- 485
- References
- 42
- FWCI
- 75.03
- Type
- journal article
- Language
- en
- Open access
- gold
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