In this paper, we propose a new criterion for selecting efficient conjoint choice designs when the interest is in quantifying willingness to pay (WTP). The new criterion, which we call the WTP-optimality criterion, is based on the c-optimality criterion which is often used in the optimal experimental design literature. We use a simulation study to evaluate the designs generated using the WTP-optimality criterion and discuss the design of a real-life conjoint experiment from the literature. The results show that the new criterion leads to designs that yield more precise estimates of the WTP than Bayesian D-optimal conjoint choice designs, which are increasingly being seen as the state-of-the-art designs for conjoint choice studies, and to a substantial reduction in the occurrence of unrealistically high WTP estimates.

C-optimal design, D-optimal design, Robust design, choice experiments, conditional logit model, valuation
dx.doi.org/10.1007/s10640-010-9401-6, hdl.handle.net/1765/22267
Environmental and Resource Economics
Erasmus Research Institute of Management

Vermeulen, B, Goos, P.P, & Scarpa, R. (2011). Bayesian Conjoint Choice Designs for Measuring Willingness to Pay. Environmental and Resource Economics, 48(1), 129–149. doi:10.1007/s10640-010-9401-6