activity
20202026
most citedIdentification of time-varying counterfactual parameters in nonlinear panel models

1 citations · 1 across the 7 of their papers we have counts for

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8 papers · 1 filter

econ.EM2026

Moments of Random Coefficients in Short Panels

Irene Botosaru, James L. Powell

We study identification and estimation of moments of random coefficients in short linear panels, allowing the number of heterogeneous coefficients to exceed the number of equations…

econ.EM2026

Correlated Random Coefficient Distributions in Linear Panel Models

Irene Botosaru, James L. Powell

We consider a static linear panel model with both correlated and uncorrelated random coefficients, where the former can depend arbitrarily on observable regressors while the latter…

econ.EM2026

Event Studies with Feedback

Irene Botosaru, Laura Liu

Event studies often conflate direct treatment effects with indirect effects operating through endogenous covariate adjustment. We develop a dynamic panel event study framework that…

econ.EM2025

Time-Varying Heterogeneous Treatment Effects in Event Studies

Irene Botosaru, Laura Liu

This paper examines the identification and estimation of heterogeneous treatment effects in event studies, emphasizing the importance of both lagged dependent variables and treatme…

econ.EM2024

An Adversarial Approach to Identification

Irene Botosaru, Isaac Loh, Chris Muris

We introduce a new framework for characterizing identified sets of structural and counterfactual parameters in econometric models. By reformulating the identification problem as a…

econ.EM2023

Forecasted Treatment Effects

Irene Botosaru, Raffaella Giacomini, Martin Weidner

We consider estimation and inference of the effects of a policy in the absence of an untreated or control group. We obtain unbiased estimators of individual (heterogeneous) treatme…