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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.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0214.

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Date of creation: Aug 1997
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Publication status: published as Abowd, John M., Bruno Crepon and Francis Kramarz. "Moment Estimation With Attrition: An Application To Economic Models," Journal of the American Statistical Association, 2001, v96(456,Dec), 1223-1231.
Handle: RePEc:nbr:nberte:0214

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  1. John Sutton, 1996. "Gibrats Legacy," STICERD - Economics of Industry Papers 14, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  2. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  3. Baden-Fuller, Charles W F, 1989. "Exit from Declining Industries and the Case of Steel Castings," Economic Journal, Royal Economic Society, vol. 99(398), pages 949-61, December.
  4. 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.
  5. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  6. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
  7. 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.
  8. Nickell, Stephen, 1984. "An Investigation of the Determinants of Manufacturing Employment in the United Kingdom," Review of Economic Studies, Wiley Blackwell, vol. 51(4), pages 529-57, October.
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Cited by:
  1. Jakob Klette, Tor & Raknerud, Arvid, 2003. "How and why do firms differ?," Memorandum 30/2002, Oslo University, Department of Economics.
  2. Inkmann, J., 2005. "Inverse Probability Weighted Generalised Empirical Likelihood Estimators: Firm Size and R&D Revisited," Discussion Paper 2005-131, Tilburg University, Center for Economic Research.
  3. repec:ese:iserwp:2002-32 is not listed on IDEAS
  4. 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.
  5. repec:ese:iserwp:2004-17 is not listed on IDEAS
  6. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
  7. Alessie, Rob & Hochguertel, Stefan & Weber, Guglielmo, 2001. "Consumer Credit: Evidence from Italian Micro Data," CEPR Discussion Papers 3071, C.E.P.R. Discussion Papers.
  8. 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.
  9. Joachim Inkmann, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Paper 01-03, Center of Finance and Econometrics, University of Konstanz.
  10. 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.
  11. Arvid Raknerud, 2002. "Identification, Estimation and Testing in Panel Data Models with Attrition: The Role of the Missing at Random Assumption," Discussion Papers 330, Research Department of Statistics Norway.

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