Ranking Models in Conjoint Analysis

Kar Yin Lam, Alex Koning and Philip Hans Franses

No EI 2010-51, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute

Abstract: 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.

Keywords: conjoint experiments; partial rankings; thurstone order statistics model (search for similar items in EconPapers)
Date: 2010-10-12
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Citations: View citations in EconPapers (1)

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