EconPapers    
Economics at your fingertips  
 

PROBEXOG-TOBEXOG: Stata modules to test exogeneity in probit/tobit

Christopher Baum

Statistical Software Components from Boston College Department of Economics

Abstract: probexog (tobexog) computes a test of exogeneity for a probit (tobit) model proposed by Smith and Blundell (1986). The test involves specifying that the exogeneity of one or more explanatory variables is under suspicion. Under the null hypothesis, the models are appropriately specified with all explanatory variables as exogenous. Under the alternative hypothesis, the suspected endogenous variables are expressed as linear projections of a set of instruments, and the residuals from those first-stage regressions are added to the model. Under the null hypothesis, these residuals should have no explanatory power. This test is related to an auxiliary regression test for exogeneity in a regression context (see ivendog), which in turn is a convenient alternative to the commonly employed Hausman test (hausman).

Language: Stata
Requires: Stata version 6.0
Keywords: instrumental variables; exogeneity; probit; tobit (search for similar items in EconPapers)
Date: 1999-12-23, Revised 2007-05-19
Note: This module may be installed from within Stata by typing "ssc install probexog-tobexog". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/probexog.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/probexog.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tobexog.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/tobexog.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s401102

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

 
Page updated 2025-03-30
Handle: RePEc:boc:bocode:s401102