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Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors

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  • Michael Lokshin

    (The World Bank)

  • Zurab Sajaia

    (The World Bank)

Abstract

In this article, we describe the switch_probit command, which implements the maximum likelihood method to fit the model of the binary choice with binary endogenous regressors. Copyright 2011 by StataCorp LP.

Suggested Citation

  • Michael Lokshin & Zurab Sajaia, 2011. "Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors," Stata Journal, StataCorp LP, vol. 11(3), pages 368-385, September.
    • Handle: RePEc:tsj:stataj:v:11:y:2011:i:3:p:368-385
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    References listed on IDEAS

    as
    1. Michael Lokshin & Elena Glinskaya, 2009. "The Effect of Male Migration on Employment Patterns of Women in Nepal," The World Bank Economic Review, World Bank, vol. 23(3), pages 481-507, November.
    2. Carrasco, Raquel, 2001. "Binary Choice with Binary Endogenous Regressors in Panel Data: Estimating the Effect of Fertility on Female Labor Participation," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 385-394, October.
    3. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    4. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
    5. Arild Aakvik & James J. Heckman & Edward J. Vytlacil, 2000. "Treatment Effects for Discrete Outcomes when Responses to Treatment Vary Among Observationally Identical Persons: An Application to Norwegian ..," NBER Technical Working Papers 0262, National Bureau of Economic Research, Inc.
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