Causal inference with sample selection

David Drukker

Canadian Stata Users' Group Meetings 2017 from Stata Users Group

Abstract: I discuss how to use the new extended regression model (ERM) commands to estimate average causal effects when the outcome is censored or when the sample is endogenously selected. I also discuss how to use these commands to estimate causal effects in the presence of endogenous explanatory variables, which these commands also accomodate.

Date: 2017-09-20
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.org/csug2017/Canada17_Drukker.pdf presentation materials (application/pdf)

Related works:
Working Paper: Causal inference with sample selection (2017)
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:csug17:02

Access Statistics for this paper

More papers in Canadian Stata Users' Group Meetings 2017 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().