Endogenous Probit And Endogenous Sample Selection Code

Yuriy Tchamourliyski ()
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Yuriy Tchamourliyski: Boston College

Statistical Software Components from Boston College Department of Economics

Abstract: The archive contains Gauss programs for estimating endogenous probit and endogenous sample selection models using the method of maximum likelihood. The current version of the code allows for only one endogenous regressor. Also included are short programs which can be used to simulate endogenous probit and endogenous sample selection models. The pdf file contains detailed information on each model. Note that the probit equation uses a non-standard normalization of one of the parameters (the standard normalization is to set the variance of the binary equation error equal to one).

Language: GAUSS
Requires: GAUSS
Keywords: probit; sample selection; maximum likelihood (search for similar items in EconPapers)

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http://fmwww.bc.edu/repec/bocode/s/semip.zip (application/zip)

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