Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models

Article dans une revue: 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.

Auteur(s)

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

Revue
  • Review of Economics and Statistics
Date de publication
  • 2015
Mots-clés
  • Heckit model
  • Bounding approach of Lee
Pages
  • 1070-1080
Version
  • 1
Volume
  • 97