Distance-Based Conjoint Experiments: Estimating Causal Effects from Empirical Benchmarks

• In Event: An experiments sampler

Brief Overview

Using original data from nearly 6,000 respondents, I introduce a distance-based conjoint method that embeds empirical benchmarks into attribute levels to estimate how deviations affect evaluations across diverse applications and contexts.

Author

• Md Mujahedul Islam, Cornell University