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Identification of Attrition Bias Using Different Types of Panel Refreshments

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  • Adrian Chadi

    () (Institute for Labour Law and Industrial Relations in the EU, University of Trier)

Abstract

Selective attrition out of longitudinal datasets is a concern for empirical researchers. This paper discusses a simple way to identify both direction and magnitude of potential sample bias in household panels. This idea is to exploit multiple types of simultaneous entries into the panel. The little known phenomenon of natural refreshments, which adds to entries through refreshments induced by data collectors, allows disentangling attrition bias from measurement errors connected to differences in participation experience (i.e. panel conditioning). A demonstrative application on subjective data from the German Socio-Economic Panel Study (SOEP) serves as an example and offers insights on health-related attrition.

Suggested Citation

  • Adrian Chadi, 2016. "Identification of Attrition Bias Using Different Types of Panel Refreshments," IAAEU Discussion Papers 201602, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
  • Handle: RePEc:iaa:dpaper:201602
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    References listed on IDEAS

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    1. Chadi, Adrian, 2014. "Dissatisfied with Life or with Being Interviewed? Happiness and Motivation to Participate in a Survey," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100505, Verein für Socialpolitik / German Economic Association.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492 National Bureau of Economic Research, Inc.
    3. Van Landeghem, Bert, 2014. "A test based on panel refreshments for panel conditioning in stated utility measures," Economics Letters, Elsevier, vol. 124(2), pages 236-238.
    4. Das, J.W.M. & van Soest, A.H.O. & Toepoel, V., 2011. "Nonparametric tests of panel conditioning and attrition bias in panel surveys," Other publications TiSEM 76b0a827-e4b6-403d-8465-a, Tilburg University, School of Economics and Management.
    5. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    6. Andrew Halpern-Manners & John Warren, 2012. "Panel Conditioning in Longitudinal Studies: Evidence From Labor Force Items in the Current Population Survey," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1499-1519, November.
    7. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    8. Marcel Das & Vera Toepoel & Arthur van Soest, 2011. "Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys," Sociological Methods & Research, , vol. 40(1), pages 32-56, February.
    9. W. Maennig & M. Steenbeck & M. Wilhelm, 2014. "Rhythms and cycles in happiness," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 70-78, January.
    10. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health-related non-response in the British Household Panel Survey and European Community Household Panel: using inverse-probability-weighted estimators in non-linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569.
    11. Gabriella Conti & Stephen Pudney, 2011. "Survey Design and the Analysis of Satisfaction," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1087-1093, August.
    12. Georgios Kavetsos & Marika Dimitriadou & Paul Dolan, 2014. "Measuring happiness: context matters," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 308-311, March.
    13. Chadi, Adrian, 2013. "The role of interviewer encounters in panel responses on life satisfaction," Economics Letters, Elsevier, vol. 121(3), pages 550-554.
    14. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
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    More about this item

    Keywords

    Subjective health; refreshment samples; household survey; sample selectivity; panel effects;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I1 - Health, Education, and Welfare - - Health

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