A simple feasible procedure to fit models with high-dimensional fixed effects
Paulo Guimaraes () and
Stata Journal, 2010, vol. 10, issue 4, 628-649
In this article, we describe an iterative approach for the estimation of linear regression models with high-dimensional fixed effects. This approach is computationally intensive but imposes minimum memory requirements. We also show that the approach can be extended to nonlinear models and to more than two high-dimensional fixed effects. Copyright 2010 by StataCorp LP.
Keywords: fixed effects; panel data (search for similar items in EconPapers)
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