Advanced Search
MyIDEAS: Login

Moment Estimation with Attrition

Contents:

Author Info

  • J, A, Abowd

    (Crest)

  • Bruno Crépon

    (Crest)

  • Francis Kramarz

    (Crest)

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.

(This abstract was borrowed from another version of this item.)

Download Info

If 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.
File URL: http://www.crest.fr/content/blogcategory/21/54/
File Function: Crest working paper version
Download Restriction: no

Bibliographic Info

Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 97-35.

as in new window
Length:
Date of creation: 1997
Date of revision:
Handle: RePEc:crs:wpaper:97-35

Contact details of provider:
Postal: 15 Boulevard Gabriel Peri 92245 Malakoff Cedex
Phone: 01 41 17 60 81
Web page: http://www.crest.fr
More information through EDIRC

Related research

Keywords:

Other versions of this item:

Find related papers by JEL classification:

References

References listed on IDEAS
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.:
as in new window
  1. 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.
  2. Verbeek, M. & Nijman, T., 1990. "Testing For Selectivity Bias In Panel Data Models," Papers 9018, Tilburg - Center for Economic Research.
  3. 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.
  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. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
  6. 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.
  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. John Sutton, 1996. "Gibrats Legacy," STICERD - Economics of Industry Papers 14, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Joachim Inkmann, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Paper 01-03, Center of Finance and Econometrics, University of Konstanz.
  2. Francesconi, Marco & Nicoletti, Cheti, 2004. "Intergenerational mobility and sample selection in short panels," ISER Working Paper Series 2004-17, Institute for Social and Economic Research.
  3. 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.
  4. Jakob Klette, Tor & Raknerud, Arvid, 2003. "How and why do firms differ?," Memorandum 30/2002, Oslo University, Department of Economics.
  5. 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.
  6. 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.
  7. 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.
  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.
  9. Cheti Nicoletti, 2010. "Poverty analysis with missing data: alternative estimators compared," Empirical Economics, Springer, vol. 38(1), pages 1-22, February.
  10. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:crs:wpaper:97-35. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Florian Sallaberry).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.