Correlation bias correction in two‐way fixed‐effects linear regression
Abstract
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. Copyright © 2014 John Wiley & Sons, Ltd.
Citing Literature
Number of times cited according to CrossRef: 6
- Stéphane Bonhomme, Kerstin Holzheu, Thibaut Lamadon, Elena Manresa, Magne Mogstad, Bradley Setzler, How Much Should We Trust Estimates of Firm Effects and Worker Sorting?, SSRN Electronic Journal, 10.2139/ssrn.3625745, (2020).
- Anders Frederiksen, Lisa Blau Kahn, Fabian Lange, Supervisors and Performance Management Systems, Journal of Political Economy, 10.1086/705715, (2019).
- Adam Sacarny, Adoption and learning across hospitals: The case of a revenue-generating practice, Journal of Health Economics, 10.1016/j.jhealeco.2018.06.005, 60, (142-164), (2018).
- David Card, Ana Rute Cardoso, Joerg Heining, Patrick Kline, Firms and Labor Market Inequality: Evidence and Some Theory, Journal of Labor Economics, 10.1086/694153, 36, S1, (S13-S70), (2018).
- Matteo Picchio, Jan C. van Ours, Temporary jobs and the severity of workplace accidents, Journal of Safety Research, 10.1016/j.jsr.2017.02.004, 61, (41-51), (2017).
- Matteo Picchio, Jan C. van Ours, Temporary Jobs and the Severity of Workplace Accidents, SSRN Electronic Journal, 10.2139/ssrn.2817291, (2016).




