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Forecasted Treatment Effects
We consider estimation and inference of the effects of a policy in the absence of a control group.
Identification of time-varying counterfactual parameters in nonlinear panel models
We show that the survival distribution of counterfactual outcomes is identified (point or partial) in this class of models.
Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares
We provide new results showing identification of a large class of fixed-T panel models, where the response variable is an unknown, weakly monotone, time-varying transformation of a latent linear index of fixed effects, regressors, and an error term drawn from an unknown stationary distribution.
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