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Two-way fixed effects estimators with heterogeneous treatment effects

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  • Cl'ement de Chaisemartin
  • Xavier D'Haultf{oe}uille

Abstract

Linear regressions with period and group fixed effects are widely used to estimate treatment effects. We show that they estimate weighted sums of the average treatment effects (ATE) in each group and period, with weights that may be negative. Due to the negative weights, the linear regression coefficient may for instance be negative while all the ATEs are positive. We propose another estimator that solves this issue. In the two applications we revisit, it is significantly different from the linear regression estimator.

Suggested Citation

  • Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2018. "Two-way fixed effects estimators with heterogeneous treatment effects," Papers 1803.08807, arXiv.org, revised Mar 2020.
  • Handle: RePEc:arx:papers:1803.08807
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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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