The Stata command felsdvreg to fit a linear model with two high-dimensional fixed effects
Abstract
This article proposes a memory-saving decomposition of the design matrix to facilitate the estimation of a linear model with two high-dimensional fixed effects. A common way to fit such a model is to take into account one of the effects by including dummy variables and to sweep out the other effect by the within transformation (fixed-effects transformation). If the number of panel units is high, creating and storing the dummy variables can involve prohibitively large computer-memory requirements. The memory-saving procedure to set up the moment matrices for estimation presented in this article can reduce the memory requirements considerably. The companion Stata ado-file felsdvreg implements the estimation method, takes care of identification issues, and provides useful summary statistics. Copyright 2008 by StataCorp LP.Download Info
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Article provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 8 (2008)
Issue (Month): 2 (June)
Pages: 170-189
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Related research
Keywords: felsdvreg; linked employer-employee data; fixed effects; three-way error-components model;References
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- 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.
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