Beyond the Average: Empirical Hypothesis Testing with Heterogeneous Effects across the Distribution of the Outcomes

• In Event: New Insights in Causal Inference: Interference, Heterogeneity, and Balancing

Brief Overview

This paper introduces finite quantile mixture models for empirical hypothesis testing of heterogeneous effects across the distribution of the outcomes. An open source software is available for the implementation of the method.

Author

• Xiao Lu, University of Mannheim