Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis

• In Event: Causal Inference

Brief Overview

How might latent variables models be used to analyze experiments? We highlight modeling approaches that make it easier to identify and estimate key parameters and review some proposed strategies for testing key modeling assumptions.

Authors

• Jiawei Fu, Yale University

• Donald P Green, Columbia University