Sample Attrition Bias in Randomized Experiments : A Table of Two Surveys
AbstractThe randomized trial literature has helped to renew the field of microeconometric policy evaluation byemphasizing identification issues raised by endogenous program participation. Measurement andattrition issues have perhaps received less attention. This paper analyzes the dramatic impact of sampleattrition in a large job search experiment. We take advantage of two independent surveys on the sameinitial sample of 8,000 persons. The first one is a long telephone survey that had a strikingly low andunbalanced response rate of about 50%. The second one is a combination of administrative data and ashort telephone survey targeted at those leaving the unemployment registers; this enriched data sourcehas a balanced and much higher response rate (about 80%). With naive estimates that neglect nonresponses, these two sources yield puzzlingly different results.Using the enriched administrative data as benchmark, we find evidence that estimates from the longtelephone survey lack external and internal validity. We turn to existing methods to bound the effectsin the presence of sample selection; we extend them to the context of randomization with imperfectcompliance. The bounds obtained from the two surveys are compatible but those from the longtelephone survey are somewhat uninformative. We conclude on the consequences for data collectionstrategies.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2009-05.
Date of creation: 2009
Date of revision:
Other versions of this item:
- Luc Behaghel & Bruno Crépon & Marc Gurgand & Thomas Le Barbanchon, 2009. "Sample attrition bias in randomized experiments: A tale of two surveys," PSE Working Papers halshs-00566836, HAL.
- Behaghel, Luc & Crépon, Bruno & Gurgand, Marc & Le Barbanchon, Thomas, 2009. "Sample Attrition Bias in Randomized Experiments: A Tale of Two Surveys," IZA Discussion Papers 4162, Institute for the Study of Labor (IZA).
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- J68 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Public Policy
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- David Card & Raj Chetty & Andrea Weber, 2007.
"The Spike at Benefit Exhaustion: Leaving the Unemployment System or Starting a New Job?,"
NBER Working Papers
12893, National Bureau of Economic Research, Inc.
- David Card & Raj Chetty & Andrea Weber, 2007. "The Spike at Benefit Exhaustion: Leaving the Unemployment System or Starting a New Job?," American Economic Review, American Economic Association, vol. 97(2), pages 113-118, May.
- Card, David & Chetty, Raj & Weber, Andrea, 2007. "The Spike at Benefit Exhaustion: Leaving the Unemployment System or Starting a New Job?," IZA Discussion Papers 2590, Institute for the Study of Labor (IZA).
- Ashenfelter, Orley & Ashmore, David & Deschenes, Olivier, 2005.
"Do unemployment insurance recipients actively seek work? Evidence from randomized trials in four U.S. States,"
Journal of Econometrics,
Elsevier, vol. 125(1-2), pages 53-75.
- Ashenfelter, Orley & Ashmore, David & Deschenes, Olivier, 2000. "Do Unemployment Insurance Recipients Actively Seek Work? Evidence From Randomized Trials in Four U.S. States," IZA Discussion Papers 128, Institute for the Study of Labor (IZA).
- Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008.
"Using Randomization in Development Economics Research: A Toolkit,"
Handbook of Development Economics,
- Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2007. "Using Randomization in Development Economics Research: A Toolkit," CEPR Discussion Papers 6059, C.E.P.R. Discussion Papers.
- Esther Duflo & Rachel Glennerster & Michael Kremer, 2006. "Using Randomization in Development Economics Research: A Toolkit," NBER Technical Working Papers 0333, National Bureau of Economic Research, Inc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Florian Sallaberry).
If references are entirely missing, you can add them using this form.