Please call again: Correcting non-response bias in treatment effect models

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 6751

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models ; Field Experiments
• Subject: survey non response ; sample selectivity ; treatment effect model ; randomized controlled trial ; Mikroökonometrie ; Stichprobenverfahren ; Befragung ; Theorie ; Arbeitsuche ; Test

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Behaghel, Luc ; Crépon, Bruno ; Gurgand, Marc ; Le Barbanchon, Thomas
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2012

Further information

• Handle: http://hdl.handle.net/10419/62568
• Last update: 10.03.2025, 11:42 AM CET