Moment Estimation with Attrition
AbstractWe 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0214.
Date of creation: Aug 1997
Date of revision:
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.
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Other versions of this item:
- 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
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Heckman, James J, 1979.
"Sample Selection Bias as a Specification Error,"
Econometric Society, vol. 47(1), pages 153-61, January.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rebin, 1998.
"Combining Panel Data Sets with Attrition and Refreshment Samples,"
NBER Technical Working Papers
0230, National Bureau of Economic Research, Inc.
- 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.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 1998. "Combining Panel Data Sets with Attrition and Refreshment Samples," Tinbergen Institute Discussion Papers 98-033/4, Tinbergen Institute.
- John Sutton, 1996. "Gibrats Legacy," STICERD - Economics of Industry Papers 14, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Verbeek, M. & Nijman, T., 1990.
"Testing For Selectivity Bias In Panel Data Models,"
9018, Tilburg - Center for Economic Research.
- 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.
- 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.
- 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.
- 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.
- 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, 03.
- 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.
- 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.
- 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.
- repec:ese:iserwp:2002-32 is not listed on IDEAS
- Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
- Joachim Inkmann, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Paper 01-03, Center of Finance and Econometrics, University of Konstanz.
- Tor Jakob Klette & Arvid Raknerud, 2002.
"How and why do Firms differ?,"
320, Research Department of Statistics Norway.
- 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.
If references are entirely missing, you can add them using this form.