Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

1 code implementation • 20 Jan 2022 • Dae Woong Ham, Kosuke Imai, Lucas Janson

We propose a new hypothesis testing approach based on the conditional randomization test to answer the most fundamental question of conjoint analysis: Does a factor of interest matter in any way given the other factors?

BIG-bench Machine Learning Decision Making +1