Using the Helmert-transformation to reduce dimensionality in a mixed model: Application to a wage equation with worker and firm heterogeneity
AbstractA model for matched data with two types of unobserved heterogeneity is considered — one related to the observation unit, the other to units to which the observation units are matched. One or both of the unobserved components are assumed to be random. This mixed model allows identi…cation of the e¤ect of time-invariant variables on the observation units. Applying the Helmert transformation to reduce dimensionality simpli…es the computational problem substantially. The framework has many potential applications; we apply it to wage modeling. Using Norwegian manufacturing data shows that the assumption with respect to the two types of heterogeneity a¤ects the estimate of the return to education considerably.
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Bibliographic InfoPaper provided by Department of Economics, Norwegian School of Economics in its series Discussion Paper Series in Economics with number 11/2011.
Length: 27 pages
Date of creation: 05 Jul 2011
Date of revision: 04 Oct 2011
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Postal: NHH, Department of Economics, Helleveien 30, N-5045 Bergen, Norway
Phone: +47 55 959 277
Fax: 5595 9100
Web page: http://www.nhh.no/sam/
More information through EDIRC
High-dimensional two-way unobserved components; Matched employer-employee data; ECM-algorithm.;
Other versions of this item:
- Nilsen, Øivind Anti & Raknerud, Arvid & Skjerpen, Terje, 2011. "Using the Helmert-Transformation to Reduce Dimensionality in a Mixed Model: Application to a Wage Equation with Worker and Firm Heterogeneity," IZA Discussion Papers 5847, Institute for the Study of Labor (IZA).
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
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- Eeckhout, Jan & Kircher, Philipp, 2011.
"Identifying sorting: in theory,"
Open Access publications from London School of Economics and Political Science
http://eprints.lse.ac.uk/, London School of Economics and Political Science.
- Eeckhout, Jan & Kircher, Philipp, 2009. "Identifying Sorting: In Theory," IZA Discussion Papers 4004, Institute for the Study of Labor (IZA).
- Philipp Kircher & Jan Eeckhout, 2009. "Identifying Sorting, In Theory," 2009 Meeting Papers 581, Society for Economic Dynamics.
- Jan Eeckhout & Philipp Kircher, 2009. "Identifying Sorting - In Theory," PIER Working Paper Archive 09-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Robert Plasman & François Rycx & Ilan Tojerow, 2007.
"Wage differentials in Belgium: the role of worker and employer characteristics,"
Brussels Economic Review,
ULB -- Universite Libre de Bruxelles, vol. 50(1), pages 11-40.
- Robert Plasman & François Rycx & Ilan Tojerow, 2007. "Wage differentials in Belgium: the role of worker and employer characteristics," DULBEA Working Papers 07-12.RS, ULB -- Universite Libre de Bruxelles.
- Max Gruetter & Rafael Lalive, .
"The Importance of Firms in Wage Determination,"
IEW - Working Papers
207, Institute for Empirical Research in Economics - University of Zurich.
- Biørn, Erik & Godager, Geir, 2009.
"Does quality influence choice of general practitioner? An analysis of matched doctor-patient panel data,"
HERO On line Working Paper Series
2008:3, Oslo University, Health Economics Research Programme.
- Biørn, Erik & Godager, Geir, 2010. "Does quality influence choice of general practitioner? An analysis of matched doctor-patient panel data," Economic Modelling, Elsevier, vol. 27(4), pages 842-853, July.
- Biorn, Erik & Godager, Geir, 2008. "Does quality influence choice of general practitioner? An analysis of matched doctor-patient panel data," MPRA Paper 8793, University Library of Munich, Germany.
- Abowd, J.M. & Kramarz, F. & Margolis, D.N., 1995.
"High-Wage Workers and High-Wage Firms,"
Cahiers de recherche
9503, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- John M. Abowd & Francis Kramarz & David N. Margolis, 1994. "High Wage Workers and High Wage Firms," NBER Working Papers 4917, National Bureau of Economic Research, Inc.
- 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.
- John M. Abowd & Francis Kramarz & David N. Margolis, 1994. "High-Wage Workers and High-Wage Firms," CIRANO Working Papers 94s-23, CIRANO.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- Thomas Cornelißen & Olaf Hübler, 2011. "Unobserved Individual and Firm Heterogeneity in Wage and Job‐Duration Functions: Evidence from German Linked Employer–Employee Data," German Economic Review, Verein für Socialpolitik, vol. 12(4), pages 469-489, November.
- M Arellano & O Bover, 1990.
"Another Look at the Instrumental Variable Estimation of Error-Components Models,"
CEP Discussion Papers
dp0007, Centre for Economic Performance, LSE.
- Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- Paulo Guimarães & Pedro Portugal, 2010. "A simple feasible procedure to fit models with high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 10(4), pages 628-649, December.
- Thierry Lallemand & Robert Plasman & François Rycx, 2005. "Why do large firms pay higher wages? evidence from matched worker-firm data," ULB Institutional Repository 2013/8743, ULB -- Universite Libre de Bruxelles.
- Vasso Ioannidou & Steven Ongena, 2010. ""Time for a Change": Loan Conditions and Bank Behavior when Firms Switch Banks," Journal of Finance, American Finance Association, vol. 65(5), pages 1847-1877, October.
- 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.
- Fredrik Heyman, 2007. "Firm Size or Firm Age? The Effect on Wages Using Matched Employer-Employee Data," LABOUR, CEIS, vol. 21(2), pages 237-263, 06.
- Thomas Cornelissen, 2008. "The Stata command felsdvreg to fit a linear model with two high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 8(2), pages 170-189, June.
- 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.
- Sónia Torres & Pedro Portugal & John T. Addison & Paulo Guimarães, 2010. "The Sources of Wage Variation: An Analysis Using Matched Employer-Employee Data," Working Papers w201025, Banco de Portugal, Economics and Research Department.
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