3 citations · 5 across the 4 of their papers we have counts for
10 papers
Using Pre-Trends for Inference in Difference-in-Differences
Clément de Chaisemartin
Difference-in-differences (DID) are sometimes estimated with many pre-treatment periods. In such settings, the observed pre-treatment outcome evolutions provide direct information…
Randomly Assigned First Differences?
Facundo Argañaraz, Clément de Chaisemartin, Ziteng Lei
We consider a first-difference regression of an outcome evolution on a treatment evolution . If the treatment effect changes over time, the regression residual is a func…
Difference-in-Differences Estimators of Intertemporal Treatment Effects
Clément de Chaisemartin, Xavier D'HaultfÅuille
We study treatment-effect estimation using panel data. The treatment may be non-binary, non-absorbing, and the outcome may be affected by treatment lags. We make a parallel-trends…
Is Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?
Clément de Chaisemartin, Xavier D'HaultfÅuille
Assume that an estimator is asymptotically normal for a target parameter under some conditions. Suppose also that one can test these conditions, and one conducts inference for the…
Difference-in-Differences Estimators When No Unit Remains Untreated
Clément de Chaisemartin, Diego Ciccia, Xavier D'HaultfÅuille +1
We study treatment-effect estimation in two-period panels where all units are untreated initially and receive strictly positive treatment doses in the second period. With quasi-unt…
Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption
Clément de Chaisemartin, Xavier D'HaultfÅuille
This paper considers the identification of dynamic treatment effects with panel data, in complex designs where the treatment may not be binary and may not be absorbing. We first sh…