Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models

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

The Review of Economics and Statistics, 2015, vol. 97, issue 5, 1070-1080

Abstract: We propose a novel selectivity correction procedure to deal with survey attrition in treatment effect models, at the crossroads of the Heckit model and 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 prior calls made to each individual before obtaining a response to the survey. We obtain sharp bounds to the average treatment effect on the common support of responding individuals. Because the number of prior calls brings information, we can obtain tighter bounds than in other nonparametric methods.

Keywords: survey non-response; sample selectivity; treatment e ect model; randomized controlled trial (search for similar items in EconPapers)
JEL-codes: C31 C93 J6 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (29)

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Related works:
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)
Working Paper: Please Call Again: Correcting Non-Response Bias in Treatment Effect Models (2012)
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