Housing Choice in a Regulated Market: A Nested Multinomial Logit Analysis

Market Response Measurement Using the Multinomial , Multiattribute Logit Choice Model

MARKET RESPONSE MEASUREMENT USING THE MULTINOMIAL, MULTIATTRIBUTE LOGIT CHOICE MODEL by Peter Manning Guadagni Submitted to the Alfred P. Sloan School of Management on May 15, 1980, in partial fulfillment of the requirements for the degree of Master of Science. Universal Product Code (UPC) scanning is the key to a new marketing data source. Unfortunately, most existing marketing models do not h...

A Bayesian Mixed Logit-Probit Model for Multinomial Choice

In this paper we introduce a new flexible mixed model for multinomial discrete choice where the key individualand alternative-specific parameters of interest are allowed to follow an assumptionfree nonparametric density specification while other alternative-specific coefficients are assumed to be drawn from a multivariate normal distribution which eliminates the independence of irrelevant alter...

A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection

0965-8564/$ see front matter 2012 Elsevier Ltd doi:10.1016/j.tra.2012.01.007 ⇑ Corresponding author. Tel.: +1 647 638 5450. E-mail addresses: taha.hosseinrashidi@utoronto. 1 Tel.: +1 312 996 0962; fax: +1 312 996 2426. 2 Tel.: +1 312 996 9840; fax: +1 312 996 2426. Residential location search has become an important topic to both practitioners and researchers as more detailed and disaggregate l...

On Rank-Ordered Nested Multinomial Logit Model and D-Optimal Design for this Model

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...

Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications