3 papers
stat.ME2026
Learning Preferences from Conjoint Data: A Hybrid Structural Deep Learning Approach
Avidit Acharya, Jens Hainmueller, Yiqing Xu
Conjoint experiments randomize multidimensional profiles, yet political science applications typically report only nonparametric averages that do not recover counterfactual choices…
econ.TH2025
Motivated Reasoning and Information Aggregation
Avidit Acharya, Kyungtae Park, Tomer Zaidman
If agents engage in motivated reasoning, how does that affect the aggregation of information in society? We study the effects of motivated reasoning in two canonical settings - the…
econ.GN2019
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism
Avidit Acharya, Kirk Bansak, Jens Hainmueller
We introduce a constrained priority mechanism that combines outcome-based matching from machine-learning with preference-based allocation schemes common in market design. Using rea…