• Graduate program
    • Why Tinbergen Institute?
    • Program Structure
    • Courses
    • Course Registration
    • Facilities
    • Admissions
    • Recent PhD Placements
  • Research
  • News
  • Events
    • Summer School
      • Summer School
      • Behavioral Macro and Complexity
      • Climate Change
      • Econometrics and Data Science Methods for Business, Economics and Finance
    • Events Calendar
    • Tinbergen Institute Lectures
    • Annual Tinbergen Institute Conference
    • Events Archive
  • Alumni
  • Times
Home | Events Archive | Two-way fixed effects estimators with heterogeneous treatment effects

Two-way fixed effects estimators with heterogeneous treatment effects

  • Series
  • Speaker(s)
    Clement de Chaisemartin (University of California, Santa Barbara)
  • Field
    Empirical Microeconomics
  • Location
    Tinbergen Institute Amsterdam (Gustav Mahlerplein 117), Room 1.01
  • Date and time

    October 08, 2019
    16:00 - 17:15

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.

Joint work with Xavier D'Haultfoeuille.