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A Simple Feasible Alternative Procedure to Estimate Models with High-Dimensional Fixed Effects

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  • Paulo Guimarães
  • Pedro Portugal

Abstract

In this paper we describe an alternative iterative approach for the estimation of linear regression models with high-dimensional fixed-effects such as large employer-employee data sets. This approach is computationally intensive but imposes minimum memory requirements. We also show that the approach can be extended to non-linear models and potentially to more than two high dimensional fixed effects.

Suggested Citation

  • Paulo Guimarães & Pedro Portugal, 2009. "A Simple Feasible Alternative Procedure to Estimate Models with High-Dimensional Fixed Effects," Working Papers w200909, Banco de Portugal, Economics and Research Department.
  • Handle: RePEc:ptu:wpaper:w200909
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    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/wp200909.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    4. William Greene, 2004. "The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 98-119, June.
    5. Anabela Carneiro & Paulo Guimaraes & Pedro Portugal, 2009. "Real Wages and the Business Cycle: Accounting for Worker and Firm Heterogeneity," CEF.UP Working Papers 0903, Universidade do Porto, Faculdade de Economia do Porto.
    6. Paulo Guimaraes, 2004. "Understanding the multinomial-Poisson transformation," Stata Journal, StataCorp LP, vol. 4(3), pages 265-273, September.
    7. 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.
    8. Guimarães, Paulo, 2008. "The fixed effects negative binomial model revisited," Economics Letters, Elsevier, vol. 99(1), pages 63-66, April.
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    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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