In this paper we consider the estimation of probabilistic ranking models in the context of conjoint experiments. By using approximate rather than exact ranking probabilities, we do not need to compute high-dimensional integrals. We extend the approximation technique proposed by \\citet{Henery1981} in the Thurstone-Mosteller-Daniels model for any Thurstone order statistics model and we show that our approach allows for a unified approach. Moreover, our approach also allows for the analysis of any partial ranking. Partial rankings are essential in practical conjoint analysis to collect data efficiently to relieve respondents' task burden.

Additional Metadata
Keywords conjoint experiments, partial rankings, thurstone order statistics model
Publisher Erasmus School of Economics (ESE)
Persistent URL hdl.handle.net/1765/20937
Citation
Lam, K.Y., Koning, A.J., & Franses, Ph.H.B.F.. (2010). Ranking Models in Conjoint Analysis (No. EI 2010-51). Report / Econometric Institute, Erasmus University Rotterdam (pp. 1–19). Erasmus School of Economics (ESE). Retrieved from http://hdl.handle.net/1765/20937