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Endogenous Probit And Endogenous Sample Selection Code

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Author Info
Yuriy Tchamourliyski () (Boston College)
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).

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File URL: http://www2.bc.edu/~tchamour/software.html
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number G00002.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
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Programming language: GAUSS
Requires: GAUSS
Date of creation: 13 Nov 2002
Date of revision:
Handle: RePEc:boc:bocode:g00002

Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: probit sample selection maximum likelihood

Statistics
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This page was last updated on 2008-5-14.


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