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What is Counterfactual Distribution Inference Methods about?

This paper develops inference procedures for counterfactual analysis using regression methods, focusing on the effects of changes in covariate distributions or conditional distributions on the marginal distribution of outcomes. It derives functional central limit theorems for regression-based estimators and constructs simultaneous confidence sets for counterfactual effects, applicable to various regression methods. The empirical application illustrates these methods through wage decompositions in the United

Author

anh nguyen

Language

EN