In contrast to the classical discrete choice experiment, the respondent in a rank-order discrete choice experiment, is asked to rank a number of alternatives instead of the preferred one. In this paper, we study the information matrix of a rank order nested multinomial logit model (RO.NMNL) and introduce local D-optimality criterion, then we obtain Locally D-optimal design for RO.NMNL models in...

This paper presents empirical findings from the comparison between two principal preference elicitation techniques: discrete choice experiments and profile-based best-worst scaling. Best-worst scaling involves less cognitive burden for respondents and provides more information than traditional "pick-one" tasks asked in discrete choice experiments. However, there is lack of empirical evidence on...

Abstract Over time, research on order effects during information searching and choice tasks has received thorough attention in marketing, psychology, economics. When early search influences favor of that information, it is called primacy ; the equivalent for later recency . However, disentangles multi‐attribute product choice, as well studies cognitive processes underlying are lacking. I addres...

Abstract Discrete choice experiments have emerged as the state-of-the-art method for measuring preferences, but they are mostly used in cross-sectional studies. In seeking to make them applicable longitudinal studies, our study addresses two common challenges: working with different respondents and handling altering attributes. We propose a sample-based discrete experiment combination covariate...