IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany

  • Mittag, Nikolas

"This paper will introduce new methods to estimate the two-way fixed effects model and the match effects model in datasets where the number of fixed effects makes standard estimation techniques infeasible. The methods work for balanced and unbalanced panels and increase the speed of estimation without imposing excessive computational demands. I will apply the methods to a new and unusually detailed matched employer-employee dataset from Germany. The analysis shows that the omission of match effects leads to biased inference particularly concerning the effects of individual characteristics and underlines the importance of accurate biographic data." (Author's abstract, IAB-Doku) ((en)) Additional Information Program files

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://doku.iab.de/fdz/reporte/2012/MR_01-12_EN.pdf
Download Restriction: no

Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Methodenreport with number 201201_en.

as
in new window

Length: 63 pages
Date of creation: 12 Mar 2012
Date of revision:
Handle: RePEc:iab:iabfme:201201_en
Contact details of provider: Postal: Regensburger Str. 104, D-90327 Nürnberg
Phone: 0911/179-1752
Fax: 0911/179-1728
Web page: http://fdz.iab.de/Email:


More information through EDIRC

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. C. Kirabo Jackson, 2010. "Match Quality, Worker Productivity, and Worker Mobility: Direct Evidence From Teachers," NBER Working Papers 15990, National Bureau of Economic Research, Inc.
  2. Francis Kramarz & Stephen Machin & Amine Ouazad, 2008. "What Makes a Test Score ? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education," Working Papers 2008-21, Centre de Recherche en Economie et Statistique.
  3. Doug Miller & A. Colin Cameron & Jonah B. Gelbach, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 621, University of California, Davis, Department of Economics.
  4. Simon D. Woodcock, 2007. "Wage Differentials in the Presence of Unobserved Worker, Firm, and Match Heterogeneity," Discussion Papers dp07-10, Department of Economics, Simon Fraser University.
  5. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller & Doug Miller, 2009. "Robust Inference with Multi-way Clustering," Working Papers 98, University of California, Davis, Department of Economics.
  6. Wansbeek, Tom & Kapteyn, Arie, 1989. "Estimation of the error-components model with incomplete panels," Journal of Econometrics, Elsevier, vol. 41(3), pages 341-361, July.
  7. Simon D. Woodcock, 2007. "Match Effects," Discussion Papers dp07-13, Department of Economics, Simon Fraser University.
  8. J. A. Hausman & W. E. Taylor, 1980. "Panel Data and Unobservable Individual Effects," Working papers 255, Massachusetts Institute of Technology (MIT), Department of Economics.
  9. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
  10. Abowd, J.M. & Kramarz, F. & Margolis, D.N., 1995. "High-Wage Workers and High-Wage Firms," Cahiers de recherche 9503, Universite de Montreal, Departement de sciences economiques.
  11. Gabor Kezdi, 2005. "Robus Standard Error Estimation in Fixed-Effects Panel Models," Econometrics 0508018, EconWPA.
  12. Abowd, John M. & Kramarz, Francis, 1999. "Econometric analyses of linked employer-employee data," Labour Economics, Elsevier, vol. 6(1), pages 53-74, March.
  13. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710 Elsevier.
  14. Grogger, Jeffrey & Hanson, Gordon H., 2011. "Income maximization and the selection and sorting of international migrants," Journal of Development Economics, Elsevier, vol. 95(1), pages 42-57, May.
  15. Robert H. Topel & Michael P. Ward, 1988. "Job Mobility and the Careers of Young Men," NBER Working Papers 2649, National Bureau of Economic Research, Inc.
  16. Jacobebbinghaus, Peter, 2008. "LIAB-Datenhandbuch, Version 3.0," FDZ Datenreport. Documentation on Labour Market Data 200803_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  17. Michael C. Lovell, 1963. "Seasonal Adjustment of Economic Time Series and Multiple Regression," Cowles Foundation Discussion Papers 151, Cowles Foundation for Research in Economics, Yale University.
  18. repec:ner:tilbur:urn:nbn:nl:ui:12-364362 is not listed on IDEAS
  19. Dale T. Mortensen, 1978. "Specific Capital, Bargaining, and Labor Turnover," Discussion Papers 320, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  20. M. J. Andrews & L. Gill & T. Schank & R. Upward, 2008. "High wage workers and low wage firms: negative assortative matching or limited mobility bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 673-697.
  21. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
  22. Martyn Andrews & Thorsten Schank & Richard Upward, 2006. "Practical fixed-effects estimation methods for the three-way error-components model," Stata Journal, StataCorp LP, vol. 6(4), pages 461-481, December.
  23. Jovanovic, Boyan, 1979. "Firm-specific Capital and Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1246-60, December.
  24. Davis, Peter, 2002. "Estimating multi-way error components models with unbalanced data structures," Journal of Econometrics, Elsevier, vol. 106(1), pages 67-95, January.
Full references (including those not matched with items on IDEAS)

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

When requesting a correction, please mention this item's handle: RePEc:iab:iabfme:201201_en. 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: (IAB, Geschäftsbereich Dokumentation und Bibliothek)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.