Abstract
We study how partisan aversion shapes long-term partnership formation in the United States. We field a discrete choice experiment on approximately 1,200 partisans aged 25-45 in which party identity, education, income, attractiveness, religiosity, and family plans vary independently across hypothetical partner profiles. The experiment measures willingness to pay for each attribute, with primary focus on cross-party avoidance. We embed the experimentally identified preferences in a transferable-utility matching model following Choo and Siow (2006), calibrated to observed population type masses and couple shares. The experimental design has two waves. Wave 1 fields profiles drawn from uniform marginals over each attribute. Wave 2 fields profiles selected per task by Bayesian adaptive design, using the Wave 1 hierarchical Bayes posterior as the Wave 2 prior. We use the calibrated model to compute counterfactual singlehood rates and cross-party couple shares under (i) removing partisan aversion and (ii) rebalancing partisan composition within gender × education cells.