A simple approximation to the average effect of the treatment on the treated in panel settings with selective enrolment

John Gardner

Applied Economics Letters, 2018, vol. 25, issue 11, 785-790

Abstract: This article shows that, in panel settings when the probability of receiving a treatment is low, simple comparisons of outcomes between those who are treated in a given period and those who are untreated in that period, but receive the treatment in some other period, approximately identify the average effect of the treatment on the treated. Monte Carlo simulations reveal that this approximate selection-correction substantially reduces selection bias relative to naive comparisons of outcomes between treated and untreated units.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2017.1366636 (text/html)
Access to full text is restricted to subscribers.

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:taf:apeclt:v:25:y:2018:i:11:p:785-790

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2017.1366636

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().