IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v33y2018i1p91-108.html

Decomposing economic mobility transition matrices

Author

Listed:
  • Jeremiah Richey
  • Alicia Rosburg

Abstract

We present a decomposition method for transition matrices to identify forces driving the persistence of economic status across generations. The method decomposes differences between an estimated transition matrix and a benchmark transition matrix into portions attributable to differences in characteristics between individuals from different households (a composition effect) and portions attributable to differing returns to these characteristics (a structure effect). A detailed decomposition based on copula theory further decomposes the composition effect into portions attributable to specific characteristics and their interactions. To examine potential drivers of economic persistence in the USA, we apply the method to white males from the 1979 US National Longitudinal Survey of Youth. Depending on the transition matrix entry of interest, differing characteristics between sons from different households explain between 40% and 70% of observed income persistence, with differing returns for these characteristics explaining the remaining gap. Further, detailed decompositions reveal significant heterogeneity in the role played by specific characteristics (e.g., education) across the income distribution.

Suggested Citation

  • Jeremiah Richey & Alicia Rosburg, 2018. "Decomposing economic mobility transition matrices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 91-108, January.
  • Handle: RePEc:wly:japmet:v:33:y:2018:i:1:p:91-108
    DOI: 10.1002/jae.2578
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/jae.2578
    Download Restriction: no

    File URL: https://libkey.io/10.1002/jae.2578?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Richey, Jeremiah & Rosburg, Alicia, 2016. "Understanding intergenerational economic mobility by decomposing joint distributions," MPRA Paper 72665, University Library of Munich, Germany.
    2. Giulio Bottazzi & Taewon Kang & Federico Tamagni, 2023. "Persistence in firm growth: inference from conditional quantile transition matrices," Small Business Economics, Springer, vol. 61(2), pages 745-770, August.
    3. Javier Cortes Orihuela & Juan D. Díaz & Pablo Gutiérrez Cubillos & Pablo A. Troncoso, 2025. "The two-sample two-stage least squares method to estimate the intergenerational earnings elasticity," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 23(2), pages 549-570, June.
    4. Chattopadhyay, Nachiketa & Sengupta, Debasis, 2020. "Individual, Structural and Exchange Mobility: Decomposition and Axiom based measures," SocArXiv 8m46u, Center for Open Science.
    5. repec:osf:socarx:8m46u_v1 is not listed on IDEAS
    6. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
    7. Brantly Callaway & Tong Li & Irina Murtazashvili & Emmanuel Tsyawo, 2021. "Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility," Papers 2107.09235, arXiv.org, revised Sep 2025.
    8. Jeremiah Richey & Alicia Rosburg, 2020. "Decomposing joint distributions via reweighting functions: an application to intergenerational economic mobility," Econometric Reviews, Taylor & Francis Journals, vol. 39(6), pages 541-558, July.
    9. Brantly Callaway & Weige Huang, 2018. "Intergenerational Income Mobility: Counterfactual Distributions with a Continuous Treatment," DETU Working Papers 1801, Department of Economics, Temple University.
    10. Javier Cortes Orihuela & Juan D. Díaz & Pablo Gutiérrez Cubillos & Pablo A. Troncoso, 2024. "Everything’s not lost: revisiting TSTSLS estimates of intergenerational mobility in developing countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(1), pages 66-94, February.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    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:wly:japmet:v:33:y:2018:i:1:p:91-108. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.