Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors
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.
Volume (Year): 11 (2011)
Issue (Month): 3 (September)
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References listed on IDEAS
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- Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
- Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
- 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.
- 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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