Estimation and Inference in an Ecological Inference Model
Copyright policy )Estimation and Inference in an Ecological Inference Model
Abstract We interpret an ecological inference model as a treatment effects model in which the outcomes of interest and the conditional covariates come from separate datasets. In this setting, the counterfactual distributions and policy parameters of interest are only partially identified under a selection on observables assumption. In this paper, we provide estimation and inference procedures for structural prediction and counterfactual analysis in such models. We also illustrate the procedures with an application to US presidential elections.
- University of Washington United States
- California Institute of Technology United States
- University of Mary United States
330, treatment effects, partial identification, Copula, Asymptotic properties of nonparametric inference, copula, Nonparametric estimation, Applications of statistics to environmental and related topics, Applications of statistics to economics, Asymptotic properties of parametric estimators, ecological inference
330, treatment effects, partial identification, Copula, Asymptotic properties of nonparametric inference, copula, Nonparametric estimation, Applications of statistics to environmental and related topics, Applications of statistics to economics, Asymptotic properties of parametric estimators, ecological inference
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