Fast Polyhedral Adaptive Conjoint Estimation

John Hauser

Duncan Simester

Olivier Toubia

Massachusetts Institute of Technology

By using new mathematical programming methods we have been able to develop algorithms that provide accurate measures of consumer preferences with far fewer questions than existing methods. Monte Carlo simulations and initial experiments suggest that the method is particularly effective for web-based conjoint analysis.