Correlation bias correction in two-way fixed-effects linear regression
When doing two-way fixed-effects ordinary least squares estimations, both the variances and covariance of the fixed effects are biased. A formula for a bias correction is known, but in large datasets, it involves inverses of impractically large matrices. We detail how to compute the bias correction in this case.
limited mobility bias; linear regression; two-way fixed effects