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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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  • Lokshin, Michael
  • Sajaia, Zurab

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.

Suggested Citation

  • Lokshin, Michael & Sajaia, Zurab, 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 1-20.
  • Handle: RePEc:ags:stataj:196676
    DOI: 10.22004/ag.econ.196676
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    File URL: http://ageconsearch.umn.edu/record/196676/files/sjart_st0233.pdf
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    References listed on IDEAS

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    1. repec:ags:stataj:116249 is not listed on IDEAS
    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 & Elena Glinskaya, 2009. "The Effect of Male Migration on Employment Patterns of Women in Nepal," World Bank Economic Review, World Bank Group, vol. 23(3), pages 481-507, November.
    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.
    6. Lokshin, Michael & Sajaia, Zurab, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 1-8.
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    Keywords

    Research Methods/ Statistical Methods;

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