Estimating selection models without an instrument with Stata
Xavier D’Haultfoeuille (),
Arnaud Maurel,
Xiaoyun Qiu () and
Yichong Zhang ()
Additional contact information
Xavier D’Haultfoeuille: CREST-ENSAE
Xiaoyun Qiu: Northwestern University
Yichong Zhang: Singapore Management University
Authors registered in the RePEc Author Service: Xavier D'Haultfoeuille
Stata Journal, 2020, vol. 20, issue 2, 297-308
Abstract:
In this article, we present the eqregsel command, which estimates and provides bootstrap inference for sample-selection models via extremal quantile regression. eqregsel estimates a semiparametric sample-selection model without an instrument or a large support regressor and outputs the point estimates of the homogeneous linear coefficients, their bootstrap standard errors, and the p-value for a specification test. Copyright 2020 by StataCorp LP.
Keywords: eqregsel; sample-selection models; extremal quantile regressions (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0598 link to article purchase
http://www.stata-journal.com/software/sj20-2/st0598/ (text/html)
Related works:
Working Paper: Estimating Selection Models without Instrument with Stata (2019) 
Working Paper: Estimating Selection Models without Instrument with Stata (2019) 
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:20:y:2019:i:2:p:297-308
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
DOI: 10.1177/1536867X20930998
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 ().