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Estimation of dynastic life‐cycle discrete choice models

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  • George‐Levi Gayle
  • Limor Golan
  • Mehmet A. Soytas

Abstract

This paper explores the estimation of a class of life‐cycle discrete choice dynastic models. It provides a new representation of the value function for these class of models. It compare a multistage conditional choice probability (CCP) estimator based on the new value function representation with a modified version of the full solution maximum likelihood estimator (MLE) in a Monte Carlo study. The modified CCP estimator performs comparably to the MLE in a finite sample but greatly reduces the computational cost. Using the proposed estimator, we estimate a dynastic model and use the estimated model to conduct counterfactual simulations to investigate the role Nature versus Nurture in intergenerational mobility. We find that Nature accounts for 20 percent of the observed intergenerational immobility at the bottom of income distribution. That means that 80 percent of mobility at the bottom of the income distribution is explained by economic decision and economic/institutional constraints.

Suggested Citation

  • George‐Levi Gayle & Limor Golan & Mehmet A. Soytas, 2018. "Estimation of dynastic life‐cycle discrete choice models," Quantitative Economics, Econometric Society, vol. 9(3), pages 1195-1241, November.
  • Handle: RePEc:wly:quante:v:9:y:2018:i:3:p:1195-1241
    DOI: 10.3982/QE771
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    Cited by:

    1. Musab Kurnaz & Mehmet Soytas, 2019. "Early Childhood Investment and Income Taxation," 2019 Meeting Papers 290, Society for Economic Dynamics.
    2. Mehmet Soytas & Limor Golan & George-Levi Gayle, 2014. "What Accounts for the Racial Gap in Time Allocation and Intergenerational Transmission of Human Capital?," 2014 Meeting Papers 83, Society for Economic Dynamics.
    3. Naijia Guo & Charles Ka Yui Leung, 2021. "Do elite colleges matter? The impact on entrepreneurship decisions and career dynamics," Quantitative Economics, Econometric Society, vol. 12(4), pages 1347-1397, November.
    4. Gayle, George-Levi & Golan, Limor & Soytas, Mehmet A., 2022. "What is the source of the intergenerational correlation in earnings?," Journal of Monetary Economics, Elsevier, vol. 129(C), pages 24-45.
    5. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    6. Kurnaz, Musab & Soytas, Mehmet A., 2019. "Intergenerational Income Mobility and Income Taxation," GLO Discussion Paper Series 409, Global Labor Organization (GLO).

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    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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