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20242026
most citedIs Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?

2 citations · 2 across the 2 of their papers we have counts for

collaborators

9 papers

econ.EM2026

Asymptotic Properties of Empirical Quantile-Based Estimators

Julien Chhor, Xavier D'Haultfœuille, Jérémy L'Hour +1

We consider inference for parameters of the form for some variables , and . Such parameters appear, in particular, in the ``changes-in-ch…

econ.EM2026

Difference-in-Differences Estimators of Intertemporal Treatment Effects

Clément de Chaisemartin, Xavier D'Haultfœuille

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…

econ.EM20262 cited

Is Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?

Clément de Chaisemartin, Xavier D'Haultfœuille

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…

econ.EM2026

Analytic inference with two-way clustering

Laurent Davezies, Xavier D'Haultfœuille, Yannick Guyonvarch

This paper studies analytic inference along two dimensions of clustering. In such setups, the commonly used approach has two drawbacks. First, the corresponding variance estimator…

econ.EM2025

Treatment-Effect Estimation in Complex Designs under a Parallel-trends Assumption

Clément de Chaisemartin, Xavier D'Haultfœuille

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…

econ.GN2025

Instrument-Free Demand Estimation Using Relative Prices Variation, with an Application to Railway Transportation

Xavier D'Haultfœuille, Ao Wang, Philippe Février +1

We develop a new identification strategy for demand estimation when cost shifters may not be available and there are substantial variations in demand over time. This approaches rel…