Advanced Search
MyIDEAS: Login

Sample attrition bias in randomized experiments: A tale of two surveys

Contents:

Author Info

  • Luc Behaghel

    (EEP-PSE - Ecole d'Économie de Paris - Paris School of Economics - Ecole d'Économie de Paris, LEA - Laboratoire d'Economie Appliquée - Institut national de la recherche agronomique (INRA) : UR1043, CREST - Centre de Recherche en Économie et Statistique - INSEE - École Nationale de la Statistique et de l'Administration Économique, J-PAL Europe - J-PAL Europe)

  • Bruno Crépon

    ()
    (CREST - Centre de Recherche en Économie et Statistique - INSEE - École Nationale de la Statistique et de l'Administration Économique, J-PAL Europe - J-PAL Europe)

  • Marc Gurgand

    (EEP-PSE - Ecole d'Économie de Paris - Paris School of Economics - Ecole d'Économie de Paris, CREST - Centre de Recherche en Économie et Statistique - INSEE - École Nationale de la Statistique et de l'Administration Économique, J-PAL Europe - J-PAL Europe, PSE - Paris-Jourdan Sciences Economiques - CNRS : UMR8545 - École des Hautes Études en Sciences Sociales (EHESS) - École des Ponts ParisTech (ENPC) - École normale supérieure [ENS] - Paris - Institut national de la recherche agronomique (INRA))

  • Thomas Le Barbanchon

    (CREST - Centre de Recherche en Économie et Statistique - INSEE - École Nationale de la Statistique et de l'Administration Économique, Unité de gestion de la direction de l'action régionale et des relations avec l'enseignement supérieur (DARES) - Institut national de la recherche agronomique (INRA))

Abstract

The randomized trial literature has helped to renew the field of microeconometric policy evaluation by emphasizing identification issues raised by endogenous program participation. Measurement and attrition issues have perhaps received less attention. This paper analyzes the dramatic impact of sample attrition in a large job search experiment. We take advantage of two independent surveys on the same initial sample of 8,000 persons. The first one is a long telephone survey that had a strikingly low and unbalanced response rate of about 50%. The second one is a combination of administrative data and a short telephone survey targeted at those leaving the unemployment registers; this enriched data source has a balanced and much higher response rate (about 80%). With naive estimates that neglect non responses, these two sources yield puzzlingly different results. Using the enriched administrative data as benchmark, we find evidence that estimates from the long telephone survey lack external and internal validity. We turn to existing methods to bound the effects in the presence of sample selection; we extend them to the context of randomization with imperfect compliance. The bounds obtained from the two surveys are compatible but those from the long telephone survey are somewhat uninformative. We conclude on the consequences for data collection strategies.

Download Info

If 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.
File URL: http://halshs.archives-ouvertes.fr/docs/00/56/68/36/PDF/wp200915.pdf
Download Restriction: no

Bibliographic Info

Paper provided by HAL in its series PSE Working Papers with number halshs-00566836.

as in new window
Length:
Date of creation: May 2009
Date of revision:
Handle: RePEc:hal:psewpa:halshs-00566836

Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00566836
Contact details of provider:
Web page: http://hal.archives-ouvertes.fr/

Related research

Keywords: unemployment ; job search ; counselling ; attrition ; sample selection;

Other versions of this item:

Find related papers by JEL classification:

References

References listed on IDEAS
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.:
as in new window
  1. 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).
  2. 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.
  3. 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).
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:hal:psewpa:halshs-00566836. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.