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Two-Sample Nonparametric Estimation of Intergenerational Income Mobili ty

Author

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  • Liu, Di
  • Murtazashvili, Irina
  • Prokhorov, Artem
Abstract
We estimate intergenerational income mobility in the USA and Sweden. To measure the degree to which income status is transmitted from one generation to another we propose a nonparametric estimator, which is particularly relevant for cross-country comparisons. Our approach allows intergenerational mobility to vary across observable family characteristics. Furthermore, it ts situations when data on fathers and sons come from di fferent samples. Finally, our estimator is consistent in the presence of measurement error in fathers' long-run economic status. We fi nd that family background captured by fathers' education matters for intergenerational income persistence in the USA more than in Sweden suggesting that the character of inequality in the two countries is rather di fferent.

Suggested Citation

  • Liu, Di & Murtazashvili, Irina & Prokhorov, Artem, 2013. "Two-Sample Nonparametric Estimation of Intergenerational Income Mobili ty," Working Papers 07_2013, University of Sydney Business School, Discipline of Business Analytics.
    • Handle: RePEc:syb:wpbsba:2123/9293
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    File URL: http://hdl.handle.net/2123/9293
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    Cited by:

    1. John Jerrim & Alvaro Choi & Rosa Simancas Rodriguez, 2014. "Two-Sample Two-Stage Least Squares (TSTSLS) estimates of earnings mobility: how consistent are they?," DoQSS Working Papers 14-17, Quantitative Social Science - UCL Social Research Institute, University College London.
    2. John Jerrim & Álvaro Choi & Rosa Simancas Rodríguez, 2014. "Two-sample two-stage least squares (TSTSLS) estimates of earnings mobility: how consistent are they?," Working Papers 2014/35, Institut d'Economia de Barcelona (IEB).

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    Keywords

    intergenerational income mobility; GMM estimation;

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