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Moment Estimation with Attrition

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  • John M. Abowd
  • Bruno Crepon
  • Francis Kramarz

Abstract

We present a method that accommodates missing data in longitudinal datasets of the type usually encountered in economic and social applications. The technique uses various extensions of missing at random' assumptions that we customize for dynamic models. Our method, applicable to longitudinal data on persons or firms, is implemented using the Generalized Method of Moments with reweighting that appropriately corrects for the attrition bias caused by the missing data. We apply the method to the estimation of dynamic labor demand models. The results demonstrate that the correction is extremely important.

Suggested Citation

  • John M. Abowd & Bruno Crepon & Francis Kramarz, 1997. "Moment Estimation with Attrition," NBER Technical Working Papers 0214, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberte:0214
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    References listed on IDEAS

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    1. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
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    5. Baltagi, Badi H. & Chang, Young-Jae, 1994. "Incomplete panels : A comparative study of alternative estimators for the unbalanced one-way error component regression model," Journal of Econometrics, Elsevier, vol. 62(2), pages 67-89, June.
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    Citations

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    Cited by:

    1. Rob Alessie & Stefan Hochguertel & Guglielmo Weber, 2005. "Consumer Credit: Evidence From Italian Micro Data," Journal of the European Economic Association, MIT Press, vol. 3(1), pages 144-178, March.
    2. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
    3. Tor Jakob Klette & Arvid Raknerud, 2002. "How and why do Firms differ?," Discussion Papers 320, Statistics Norway, Research Department.
    4. Cheti Nicoletti & Marco Francesconi, 2006. "Intergenerational mobility and sample selection in short panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1265-1293.
    5. Nicoletti, Cheti & Peracchi, Franco, 2002. "A cross-country comparison of survey nonparticipation in the ECHP -ISER working paper-," ISER Working Paper Series 2002-32, Institute for Social and Economic Research.
    6. Cheti Nicoletti & Franco Peracchi & Vincenzo Atella, 2005. "Survey Response and Survey Characteristics: Micro-level Evidence from the European Commission Household Panel," CEIS Research Paper 64, Tor Vergata University, CEIS.
    7. Arvid Raknerud, 2002. "Identification, Estimation and Testing in Panel Data Models with Attrition: The Role of the Missing at Random Assumption," Discussion Papers 330, Statistics Norway, Research Department.
    8. Nicoletti, Cheti & Peracchi, Franco, 2004. "Survey response and survey characteristics: Micro-level evidence from the ECHP," Economics & Statistics Discussion Papers esdp04015, University of Molise, Dept. EGSeI.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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