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ppmlhdfe: Fast Poisson Estimation with High-Dimensional Fixed Effects

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  • Sergio Correia
  • Paulo Guimar~aes
  • Thomas Zylkin

Abstract

In this paper we present ppmlhdfe, a new Stata command for estimation of (pseudo) Poisson regression models with multiple high-dimensional fixed effects (HDFE). Estimation is implemented using a modified version of the iteratively reweighted least-squares (IRLS) algorithm that allows for fast estimation in the presence of HDFE. Because the code is built around the reghdfe package, it has similar syntax, supports many of the same functionalities, and benefits from reghdfe's fast convergence properties for computing high-dimensional least squares problems. Performance is further enhanced by some new techniques we introduce for accelerating HDFE-IRLS estimation specifically. ppmlhdfe also implements a novel and more robust approach to check for the existence of (pseudo) maximum likelihood estimates.

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  • Sergio Correia & Paulo Guimar~aes & Thomas Zylkin, 2019. "ppmlhdfe: Fast Poisson Estimation with High-Dimensional Fixed Effects," Papers 1903.01690, arXiv.org, revised Aug 2019.
    • Handle: RePEc:arx:papers:1903.01690
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    References listed on IDEAS

    as
    1. Sergio Correia, 2016. "reghdfe: Estimating linear models with multi-way fixed effects," 2016 Stata Conference 24, Stata Users Group.
    2. 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.
    3. 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.
    4. Blackburn, McKinley L., 2007. "Estimating wage differentials without logarithms," Labour Economics, Elsevier, vol. 14(1), pages 73-98, January.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    6. Ana Rute Cardoso & Paulo Guimarães & Klaus F. Zimmermann, 2010. "Trends in Economic Research: An International Perspective," Kyklos, Wiley Blackwell, vol. 63(4), pages 479-494, November.
    7. Thomas Zylkin, 2019. "Verifying the Existence of Maximum Likelihood Estimates in Generalized Linear Models," 2019 Stata Conference 47, Stata Users Group.
    8. Sergio Correia & Paulo Guimar~aes & Thomas Zylkin, 2019. "Verifying the existence of maximum likelihood estimates for generalized linear models," Papers 1903.01633, arXiv.org, revised Jun 2021.
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