IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/31020.html

A Trajectories-Based Approach to Measuring Intergenerational Mobility

Author

Listed:
  • Yoosoon Chang
  • Steven N. Durlauf
  • Seunghee Lee
  • Joon Y. Park

Abstract

This paper develops an approach to intergenerational mobility in which the trajectories of parental incomes during childhood and adolescence are the conditioning objects for characterizing dependence across generations. We use functional regression methods to produce an intergenerational elasticity curve that measures how marginal changes in income at each age affect expected offspring permanent income. Using the PSID, estimates of this curve exhibit near monotonicity with respect to age, so that parental incomes in middle childhood and adolescence have larger marginal effects than incomes in early childhood. When interactions are allowed to occur between incomes at different ages, we find a complex pattern of substitutability between incomes at ages that are close in time versus complementarity between parental incomes for ages early childhood and adolescence. Qualitatively similar results hold for offspring education while we do not find evidence of age-specific effects for occupation. We conclude that important information about the links between parental incomes and children exists beyond the scalar characterization of parental permanent income.

Suggested Citation

  • Yoosoon Chang & Steven N. Durlauf & Seunghee Lee & Joon Y. Park, 2023. "A Trajectories-Based Approach to Measuring Intergenerational Mobility," NBER Working Papers 31020, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:31020
    Note: ED EFG LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w31020.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yoosoon Chang & Yong-gun Kim & Boreum Kwak & Joon Y. Park, 2024. "Using Density Forecast for Growth-at-Risk to Improve Mean Forecast of GDP Growth in Korea," CAEPR Working Papers 2024-005 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Yoosoon Chang & Fabio Gomez-Rodriguez & Christian Matthes, 2023. "The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve," CAMA Working Papers 2023-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:31020. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.