Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models

Luc Behaghel, Bruno Crépon (), Marc Gurgand and Thomas Le Barbanchon
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Bruno Crépon: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique

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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: Heckit model; Bounding approach of Lee (search for similar items in EconPapers)
Date: 2015-12
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01245539v1
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Citations: View citations in EconPapers (31)

Published in Review of Economics and Statistics, 2015, 97 (5), pp.1070-1080. ⟨10.1162/REST_a_00497⟩

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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 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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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01245539

DOI: 10.1162/REST_a_00497

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