Volume 3, Issue 1
Original Article

Correlation bias correction in two‐way fixed‐effects linear regression

Simen Gaure

Corresponding Author

The Ragnar Frisch Centre for Economic Research, Oslo, 0349 Norway

Corresponding to: Simen Gaure, The Ragnar Frisch Centre for Economic Research, Oslo, Norway

E‐mail:Simen.Gaure@frisch.uio.no

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First published: 09 December 2014
Citations: 6

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.

Number of times cited according to CrossRef: 6

  • How Much Should We Trust Estimates of Firm Effects and Worker Sorting?, SSRN Electronic Journal, 10.2139/ssrn.3625745, (2020).
  • Supervisors and Performance Management Systems, Journal of Political Economy, 10.1086/705715, (2019).
  • 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).
  • Firms and Labor Market Inequality: Evidence and Some Theory, Journal of Labor Economics, 10.1086/694153, 36, S1, (S13-S70), (2018).
  • Temporary jobs and the severity of workplace accidents, Journal of Safety Research, 10.1016/j.jsr.2017.02.004, 61, (41-51), (2017).
  • Temporary Jobs and the Severity of Workplace Accidents, SSRN Electronic Journal, 10.2139/ssrn.2817291, (2016).

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