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A Note on the Correlated Random Coefficient Model

Author

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  • Christophe Kolodziejczyk

    (Department of Economics, University of Copenhagen)

Abstract

In this note we derive the bias of the OLS estimator for a correlated random coefficient model with one random coefficient, but which is correlated with a binary variable. We provide set-identification to the parameters of interest of the model. We also show how to reduce the bias of the estimator.

Suggested Citation

  • Christophe Kolodziejczyk, 2006. "A Note on the Correlated Random Coefficient Model," CAM Working Papers 2006-10, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    • Handle: RePEc:kud:kuieca:2006_10
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    File URL: http://www.econ.ku.dk/cam/wp0910/wp0406/2006-10.pdf/
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    References listed on IDEAS

    as
    1. James Heckman & Edward Vytlacil, 1998. "Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 974-987.
    2. Martin Browning & Valérie Lechene, 2003. "Children and Demand: Direct and Non-Direct Effects," Review of Economics of the Household, Springer, vol. 1(1), pages 9-31, January.
    3. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
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    Cited by:

    1. Christophe Kolodziejczyk, 2006. "Retirement and Fixed Costs to Work: An Empirical Analysis," CAM Working Papers 2006-09, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.

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    More about this item

    Keywords

    correlated random coefficient model; bias; discrete choice;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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