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Simple Endogenous Binary Choice and Selection Panel Model Estimators

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  • Arthur Lewbel

    () (Boston College)

Abstract

This paper provides numerically trivial estimators for short panels of either binary choices or of linear models that suffer from confounded, nonignorable sample selection. The estimators allow for fixed effects, endogenous regressors, lagged dependent variables, and heterokedastic errors with unknown distribution. The estimators, which converge at rate root n, are based on variants of the Honoré and Lewbel (2002) panel binary choice model and Lewbel's (2005) cross section sample selection model.

Suggested Citation

  • Arthur Lewbel, 2005. "Simple Endogenous Binary Choice and Selection Panel Model Estimators," Boston College Working Papers in Economics 613, Boston College Department of Economics, revised 04 Sep 2006.
  • Handle: RePEc:boc:bocoec:613
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    File URL: http://fmwww.bc.edu/EC-P/wp613.pdf
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    References listed on IDEAS

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    Cited by:

    1. Bettina Peters, 2009. "Persistence of innovation: stylised facts and panel data evidence," The Journal of Technology Transfer, Springer, vol. 34(2), pages 226-243, April.
    2. Marta Rubio Codina & Pierre Dubois, 2012. "Child Care Provision: Semiparametric Evidence from a Randomized Experiment in Mexico," Annals of Economics and Statistics, GENES, pages 155-184.
    3. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.

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