Please Call Again, Correcting Non-response Bias in Treatment Effect Models

Luc Behaghel, Bruno Crépon, Marc Gurgand and Thomas Le Barbanchon

No 2012-15, Working Papers from Center for Research in Economics and Statistics

Abstract: We propose a novel selectivity correction procedure to deal with survey attrition, at the crossroads of the "Heckit" and of the bounding approach of Lee (2009). As a substitute for the instrument needed in sample selectivity correction models, we use information on the number of attempts that were made to obtain response to the survey from each individual who responded. We obtain set identification, but if the number of attempts to reach each individuals is high enough, we can come closer to point identification. We apply our sample selection correction in the context of a job-search experiment with low and unbalanced response rates

Keywords: Survey non response; sample selectivity; treatment effect models; randomized controlled trial (search for similar items in EconPapers)
JEL-codes: C31 C93 J6 (search for similar items in EconPapers)
Pages: 37
Date: 2012-08
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://crest.science/RePEc/wpstorage/2012-15.pdf Crest working paper version (application/pdf)

Related works:
Journal Article: Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models (2015)
Working Paper: Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models (2015)
Working Paper: Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models (2015)
Working Paper: Please Call Again: Correcting Non-Response Bias in Treatment Effect Models (2012)
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:crs:wpaper:2012-15

Access Statistics for this paper

More papers in Working Papers from Center for Research in Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Secretariat General () and Murielle Jules Maintainer-Email : murielle.jules@ensae.Fr.