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The Performance of Sample Selection Estimators to Control for Attrition Bias


  • Grasdal, A.


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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    References listed on IDEAS

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    2. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
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    Cited by:

    1. Reichert, Arndt & Tauchmann, Harald, 2014. "When outcome heterogeneously matters for selection: a generalized selection correction estimator," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 762-768.
    2. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, Elsevier.
    3. 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.
    4. Chivers, David, 2017. "Success, survive or escape? Aspirations and poverty traps," Journal of Economic Behavior & Organization, Elsevier, pages 116-132.
    5. 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.
    6. 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.
    7. repec:zbw:rwirep:0372 is not listed on IDEAS

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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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