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Intergenerational Mobility

Paper Session

Friday, Jan. 6, 2023 10:15 AM - 12:15 PM (CST)

Hilton Riverside, Camp
Hosted By: American Economic Association
  • Chair: Karen Dynan, Harvard University

Engines of Change? Tribal Casinos, Economic Success, and Intergenerational Mobility

Emilia Simeonova
,
Johns Hopkins University
Margaret R. Jones
,
U.S. Census Bureau
Randall Akee
,
University of California-Los Angeles

Abstract

This study considers three different types of changes in family economic circumstance and their impacts on the next generation. Using confidential-use longitudinal administrative data, we first examine the impact of opening tribal casinos, often described as “engines of economic growth,” on the population of individuals residing on reservations and immediately adjacent counties in 1989, both American Indians (AIs) and non-AIs, and we follow them annually (for almost all years) until 2017. Second, we expand this analysis to explicitly analyze cases in which the tribe distributed unconditional cash transfers to tribal members. Finally, we consider a subset of tribal members who reside away from the reservation, and investigate the effect of unconditional cash transfers on this group. While they receive the cash transfers, these tribal members are not directly affected by the casino operations. Importantly, all three of these treatments affect the same demographic groups at the same time, and are brought about by the same institutional changes. We examine income, earnings and employment outcomes for the parents and their children (in adulthood).

Black Americans’ Landholdings and Economic Mobility after Emancipation: New Evidence on the Significance of 40 Acres

William Collins
,
Vanderbilt University
Nicholas Holtkamp
,
U.S. Department of Health and Human Services
Marianne Wanamaker
,
University of Tennessee

Abstract

The US Civil War ended in 1865 without the distribution of land or compensation to those formerly enslaved – a decision often seen as a cornerstone of racial inequality. We build a dataset to observe Black households’ landholdings in 1880, a key component of their wealth, alongside a sample of White households. We then link their sons to the 1900 census records to observe economic and human capital outcomes. We show that Black landowners (and skilled workers) were able to transmit substantial intergenerational advantages to their sons. But such advantages were small relative to the overall racial gaps in economic status.

The Intergenerational Transmission of Mental and Physical Health in the United Kingdom

Panka Bencsik
,
University of Chicago
Timothy Halliday
,
University of Hawaii-Manoa
Bhashkar Mazumder
,
Federal Reserve Bank of Chicago

Abstract

We investigate intergenerational health persistence in the United Kingdom using Quality Adjusted Life Years (QALY), a broad measure of health derived from the SF-12 Survey. We estimate that the rank-rank slope is 0.17 and the intergenerational health association (IHA) is 0.19. We use components of the SF-12 to create mental and physical health indices and that both mental health and physical health have a similar degree of intergenerational persistence. However, parents' mental health is much more strongly associated with children's health than parents' physical health indicating that mental health might be a more important transmission channel. Finally, we construct an overall measure of welfare that combines income and health, and estimate a rank-rank association of 0.27. This is considerably lower than a comparable estimate of 0.43 for the US, suggesting greater mobility of overall welfare in the UK than the US.

Intergenerational Mobility using Income, Consumption, and Wealth

Jonathan Fisher
,
Washington Center for Equitable Growth
David S. Johnson
,
National Academies of Sciences, Engineering, and Medicine

Abstract

We use fifty years of the Panel Study of Income Dynamics to study the intergenerational correlation in income, consumption, and wealth for the same individuals to answer the question: is intergenerational mobility similar across the three resource measures? Income exhibits the highest intergenerational correlation, or lowest mobility, followed closely by consumption and a larger difference for wealth. This primary result holds across three measures of the intergenerational correlation: the rank-rank slope, the intergenerational elasticity, and the Gini index of mobility. Our findings highlight the importance of using the same sample to study the three measures, as our consumption rank-rank slope is higher than the income rank-rank slope found in the literature, but our consumption rank-rank slope is lower than our own income rank-rank slope. These results paint a more complete picture of intergenerational mobility. Relative mobility is lowest for income, followed by consumption and wealth. However, we find that high wealth in childhood supplements low income or low consumption in childhood, increasing upward mobility for those with low income or consumption in childhood. Thus, wealth acts as a buffer against low income or consumption as a child. We also look at differences between White children and Black children. We find that if all children experienced the level of intergenerational mobility that Black children experience, the United States would compare much more favorably to the high mobility experienced in Nordic countries.

Discussant(s)
Marcus Casey
,
University of Illinois-Chicago
Laura Salisbury
,
York University
Elisa Jácome
,
Stanford University
Luigi Pistaferri
,
Stanford University
JEL Classifications
  • J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers
  • D1 - Household Behavior and Family Economics