Your American Dream is Not Mine! A New Approach to Estimating Intergenerational Mobility Elasticities

34 Pages Posted: 30 Sep 2015 Last revised: 11 Nov 2020

See all articles by Yonghong An

Yonghong An

Texas A&M University

Le Wang

University of Oklahoma

Ruli Xiao

Indiana University

Date Written: June 1, 2020

Abstract

This paper provides a framework for estimating intergenerational mobility elasticities (IGE) of children’s income with respect to parental income. We allow the IGEs to be heterogeneous, by leaving the relationship of parental and child incomes unspecified, while acknowledging and addressing the latent nature of both child and parental permanent incomes and the resulted life-cycle bias. Our framework enables us to test the widely imposed assumption that the intergenerational mobility function is linear. Applying our method to the Panel Studies of Income Dynamics (PSID) data, we decisively reject the commonly imposed linearity assumption and find substantial heterogeneity in the IGEs across the population. We confirm an important finding that the IGEs with respect to parental income exhibit a U-shape pattern, which is occasionally highlighted in the analysis using transition matrices. Specifically, there is a considerable degree of mobility among the broadly defined middle class, but the children of both high- and low-income parents are more likely to be high- and low-income adults, respectively. This result also provides insights into the (intertemporal) Great Gatsby curve, suggesting that a higher level of inequality within one generation may lead to a higher level of social immobility in the next generation in the U.S.

Suggested Citation

An, Yonghong and Wang, Le and Xiao, Ruli, Your American Dream is Not Mine! A New Approach to Estimating Intergenerational Mobility Elasticities (June 1, 2020). Available at SSRN: https://ssrn.com/abstract=2666697 or http://dx.doi.org/10.2139/ssrn.2666697

Yonghong An

Texas A&M University ( email )

3051 Allen Building
4428 TAMU
College Station, TX Texas 77843
United States

Le Wang

University of Oklahoma ( email )

729 Elm Avenue
Norman, OK 73019-2103
United States
3392933783 (Phone)
73019 (Fax)

Ruli Xiao (Contact Author)

Indiana University ( email )

Wylie Hall
Bloomington, IN 47405-6620
United States

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