IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp3935.html
   My bibliography  Save this paper

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

Author

Listed:
  • Guimaraes, Paulo

    (Banco de Portugal)

  • Portugal, Pedro

    (Banco de 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

  • Guimaraes, Paulo & Portugal, Pedro, 2009. "A Simple Feasible Alternative Procedure to Estimate Models with High-Dimensional Fixed Effects," IZA Discussion Papers 3935, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3935
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp3935.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Cornelißen Thomas & Hübler Olaf, 2011. "Unobserved Individual and Firm Heterogeneity in Wage and Job-Duration Functions: Evidence from German Linked Employer–Employee Data," German Economic Review, De Gruyter, vol. 12(4), pages 469-489, December.
    3. Ferreira, Priscila, 2009. "Returns to job mobility: the role of observed and unobserved factors," ISER Working Paper Series 2009-12, Institute for Social and Economic Research.
    4. Davidson, Carl & Heyman, Fredrik & Matusz, Steven & Sjöholm, Fredrik & Zhu, Susan Chun, 2014. "Globalization and imperfect labor market sorting," Journal of International Economics, Elsevier, vol. 94(2), pages 177-194.
    5. Kata Mihaly & Daniel F. McCaffrey & J. R. Lockwood & Tim R. Sass, 2010. "Centering and reference groups for estimates of fixed effects: Modifications to felsdvreg," Stata Journal, StataCorp LP, vol. 10(1), pages 82-103, March.
    6. Ainara González de San Román & Yolanda F. Rebollo‐Sanz, 2018. "An Estimation Of Worker And Firm Effects With Censored Data," Bulletin of Economic Research, Wiley Blackwell, vol. 70(4), pages 459-482, October.
    7. Margarita Carvalho & João Cerejeira, 2019. "Mergers and Acquisitions and wage effects in the Portuguese banking sector," NIPE Working Papers 07/2019, NIPE - Universidade do Minho.
    8. 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," Discussion Paper Series in Economics 11/2011, Norwegian School of Economics, Department of Economics, revised 04 Oct 2011.
    9. Ajay Bhaskarbhatla & Luis Cabral & Deepak Hegde & Thomas (T.L.P.R.) Peeters, 2017. "Human Capital, Firm Capabilities, and Innovation," Tinbergen Institute Discussion Papers 17-115/VII, Tinbergen Institute, revised 03 Mar 2020.
    10. Bombardini, Matilde & Orefice, Gianluca & Tito, Maria D., 2019. "Does exporting improve matching? Evidence from French employer-employee data," Journal of International Economics, Elsevier, vol. 117(C), pages 229-241.
    11. Alfaro, Laura & García-Santana, Manuel & Moral-Benito, Enrique, 2021. "On the direct and indirect real effects of credit supply shocks," Journal of Financial Economics, Elsevier, vol. 139(3), pages 895-921.
    12. Mittag, Nikolas, 2016. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," IZA Discussion Papers 10447, Institute of Labor Economics (IZA).
    13. Ajay Bhaskarabhatla & Luis Cabral & Deepak Hegde & Thomas Peeters, 2021. "Are Inventors or Firms the Engines of Innovation?," Management Science, INFORMS, vol. 67(6), pages 3899-3920, June.
    14. Diana Lúcia Gonzaga da Silva & Carlos Roberto Azzoni, 2016. "Location and wages: the contribution of firm and worker effects in Brazil," Working Papers, Department of Economics 2016_41, University of São Paulo (FEA-USP).
    15. 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.
    16. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Andrews, Martyn J. & Gill, Len & Schank, Thorsten & Upward, Richard, 2006. "High wage workers and low wage firms : negative assortative matching or statistical artefact?," Discussion Papers 42, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    18. Stoyanov, Andrey & Zubanov, Nikolay, 2014. "The distribution of the gains from spillovers through worker mobility between workers and firms," European Economic Review, Elsevier, vol. 70(C), pages 17-35.
    19. repec:iab:iabfme:200603(en is not listed on IDEAS
    20. Robert W. Fairlie & Florian Hoffmann & Philip Oreopoulos, 2014. "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," American Economic Review, American Economic Association, vol. 104(8), pages 2567-2591, August.
    21. Moczall, Andreas, 2015. "The effect of hiring subsidies on regular wages," IAB-Discussion Paper 201501, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    More about this item

    Keywords

    high dimensional fixed effects; linked employer-employee data;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp3935. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.