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Annual Review of Economics

Volume 10, 2018

Fixed Effects Estimation of Large-Panel Data Models

Abstract

This article reviews recent advances in fixed effects estimation of panel data models for long panels, where the number of time periods is relatively large. We focus on semiparametric models with unobserved individual and time effects, where the distribution of the outcome variable, conditional on covariates and unobserved effects, is specified parametrically while the distribution of the unobserved effects is left unrestricted. In contrast to existing reviews on long panels, we discuss models with both individual and time effects, split-panel jackknife bias corrections, unbalanced panels, distribution and quantile effects, and other extensions. Understanding and correcting the incidental parameter bias caused by the estimation of many fixed effects are our main focuses, and the unifying theme is that the order of this bias is given by the simple formula / for all models discussed, with being the number of estimated parameters and the total sample size.

Keyword(s): bias correction, fixed effects, incidental parameter problem, JEL C23, JEL C33, nonlinear models, panel data, unobserved heterogeneity
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2018-08-02
2025-04-26
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/content/journals/10.1146/annurev-economics-080217-053542
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Fixed Effects Estimation of Large-TPanel Data Models
Annual Review of Economics 10, 109 (2018); https://doi.org/10.1146/annurev-economics-080217-053542
/content/journals/10.1146/annurev-economics-080217-053542
/content/journals/10.1146/annurev-economics-080217-053542
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