On identification and estimation of Heckman models

Jonathan Cook (), Joon-Suk Lee () and Noah Newberger ()
Additional contact information
Jonathan Cook: Oeste Corp
Noah Newberger: Oeste Corp

Stata Journal, 2021, vol. 21, issue 4, 972-998

Abstract: In this article, we present commands to enable fixing the value of the correlation between the unobservables in Heckman models. These commands can solve two practical issues. First, for situations in which a valid exclusion restriction is not available, these commands enable exploring how the results could be affected by sample-selection bias. Second, stepping through values of this correlation can verify whether the global maximum of the likelihood function has been found. We provide several commands to fit these and related models with a fixed value of the correlation between the unobservables.

Keywords: heckman fixedrho; heckman scanrho; heckprobit fixedrho; heckprobit scanrho; etregress fixedrho; etregress scanrho; biprobit fixedrho; bipro- bit scanrho; Heckman model; sample-selection correction; endogenous treatment; bivariate probit (search for similar items in EconPapers)
Date: 2021
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-4/st0658/
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0658 link to article purchase

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:tsj:stataj:v:21:y:2021:i:4:p:972-998

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X211063149

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().