2 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…
stat.ME2026
Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
Albert Chiu, Xingchen Lan, Ziyi Liu +1
Two-way fixed effects (TWFE) models are widely used in political science to establish causality, but recent methodological discussions highlight their limitations under heterogeneo…