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The Performance of Sample Selection Estimators to Control for Attrition Bias

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  • Grasdal, A.

Abstract

Sample attrition is a potential source of selection bias in experimental as well as non-experimental programme evaluation. For labour market outcomes such as employment status and earnings, missing data problems caused by attrition can be circumvented by collection of follow-up data from administrative regiters. For most non labour market outcomes however, investigators must rely on participants willingness to cooperate in keeping detailed follow-up records and statistical correction procedures to identify and possibly adjust for attrition bias.

Suggested Citation

  • Grasdal, A., 2000. "The Performance of Sample Selection Estimators to Control for Attrition Bias," Norway; Department of Economics, University of Bergen 0101, Department of Economics, University of Bergen.
    • Handle: RePEc:fth:bereco:0101
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    2. Arndt Reichert & Harald Tauchmann, 2014. "When outcome heterogeneously matters for selection: a generalized selection correction estimator," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 762-768, March.
    3. Chen, Yuanyuan & Feng, Shuaizhang & Han, Yujie, 2020. "The effect of primary school type on the high school opportunities of migrant children in China," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 325-338.
    4. Alison Snow Jones & David W. Richmond, 2006. "Causal effects of alcoholism on earnings: estimates from the NLSY," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 849-871, August.
    5. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    6. Hernandez-Hernandez, Emilio & Sam, Abdoul G. & Gonzalez-Vega, Claudio & Chen, Joyce J., 2012. "Does the insurance effect of public and private transfers favor financial deepening? evidence from rural Nicaragua," MPRA Paper 38339, University Library of Munich, Germany.
    7. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2020. "Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 552-568, July.
    8. Arndt Reichert & Harald Tauchmann, 2012. "When Outcome Heterogeneously Matters for Selection – A Generalized Selection Correction Estimator," Ruhr Economic Papers 0372, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    9. Incekara-Hafalir, Elif & Lee, Grace HY & Xiao, Erte, 2025. "Incentivizing participation with full completion: The Power of self-selected rewards," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 117(C).

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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