Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression
AbstractThe conventional heteroskedasticity-robust (HR) variance matrix estimator for cross-sectional regression (with or without a degrees-of-freedom adjustment), applied to the fixed-effects estimator for panel data with serially uncorrelated errors, is inconsistent if the number of time periods T is fixed (and greater than 2) as the number of entities n increases. We provide a bias-adjusted HR estimator that is nT-consistent under any sequences (n, T) in which n and/or T increase to infinity. This estimator can be extended to handle serial correlation of fixed order. Copyright The Econometric Society 2008.
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Bibliographic InfoArticle provided by Econometric Society in its journal Econometrica.
Volume (Year): 76 (2008)
Issue (Month): 1 (01)
Other versions of this item:
- James H. Stock & Mark W. Watson, 2006. "Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression," NBER Technical Working Papers 0323, National Bureau of Economic Research, Inc.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
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