Please Call Again: Correcting Non-Response Bias in Treatment Effect Models

40 Pages Posted: 6 Oct 2012

See all articles by Luc Behaghel

Luc Behaghel

Paris School of Economics; National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST)

Bruno Crepon

National Institute of Statistics and Economic Studies (INSEE) - National School for Statistical and Economic Administration (ENSAE); IZA Institute of Labor Economics

Marc Gurgand

National Center for Scientific Research (CNRS); National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST)

Thomas Le Barbanchon

Bocconi university; Centre for Economic Policy Research (CEPR)

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 individual 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 model, randomized controlled trial

JEL Classification: C31, C93, J6

Suggested Citation

Behaghel, Luc and Crepon, Bruno and Gurgand, Marc and Le Barbanchon, Thomas, Please Call Again: Correcting Non-Response Bias in Treatment Effect Models. IZA Discussion Paper No. 6751, Available at SSRN: https://ssrn.com/abstract=2157893 or http://dx.doi.org/10.2139/ssrn.2157893

Luc Behaghel (Contact Author)

Paris School of Economics ( email )

48 Boulevard Jourdan
Paris, 75014 75014
France

National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST) ( email )

15 Boulevard Gabriel Peri
Malakoff Cedex, 1 92245
France

Bruno Crepon

National Institute of Statistics and Economic Studies (INSEE) - National School for Statistical and Economic Administration (ENSAE) ( email )

92245 Malakoff Cedex
France

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Marc Gurgand

National Center for Scientific Research (CNRS) ( email )

3, rue Michel-Ange
Paris cedex 16, 75794
France

National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST)

15 Boulevard Gabriel Peri
Malakoff Cedex, 1 92245
France

Thomas Le Barbanchon

Bocconi university ( email )

Via Sarfatti, 25
Milan, MI 20136
Italy

Centre for Economic Policy Research (CEPR) ( email )

London
United Kingdom

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