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Robust Determinants of Intergenerational Mobility in the Land of Opportunity

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  • Andros Kourtellos
  • Christa Marr
  • Chih Ming Tan

Abstract

This paper revisits the influential work by Chetty, Hendren, Kline, and Saez (2014) who attempt to explain the variation in intergenerational mobility across commuter zones in the US (i.e., spatial mobility) using nine classes of variables. We employ Bayesian model averaging methods that allow for model uncertainty to identify robust predictors of spatial mobility. In doing so we pay special attention to the specification of model and parameter priors. We also investigate the heterogeneous effects of these predictors on spatial mobility across commuter zones in different average income quintiles. Our findings suggest a more nuance and complex characterization of the spatial mobility process than that proposed by Chetty, Hendren, Kline, and Saez.

Suggested Citation

  • Andros Kourtellos & Christa Marr & Chih Ming Tan, 2014. "Robust Determinants of Intergenerational Mobility in the Land of Opportunity," University of Cyprus Working Papers in Economics 07-2014, University of Cyprus Department of Economics.
    • Handle: RePEc:ucy:cypeua:07-2014
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    Cited by:

    1. Orhan Torul & Oguz Oztunali, 2017. "Intergenerational Educational Mobility in Europe," Working Papers 2017/03, Bogazici University, Department of Economics.
    2. Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2021. "Social Mobility in Germany," Rationality and Competition Discussion Paper Series 298, CRC TRR 190 Rationality and Competition.
    3. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    4. Jinchao Wang & Changfu Luo, 2022. "Social Mobility and Firms’ Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 14(22), pages 1-19, November.

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    More about this item

    Keywords

    intergenerational mobility; income persistence; BMA; model uncertainty;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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