Development and estimation of a semi-compensatory model with flexible error structure

Sigal Kaplan, Yoram Shiftan, Shlomo Bekhor

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Semi-compensatory models show promise in representing two-stage choice processes by integrating choice set formation within discrete choice models. However, they are subject to simplifying assumptions that limit their application. The current study proposes a novel semi-compensatory model that alleviates these simplifying assumptions concerning (i) the number of alternatives, (ii) the representation of choice set formation, and (iii) the error structure. The proposed semi-compensatory model represents a sequence of choice set formation based on the conjunctive heuristic with correlated thresholds, and utility-based choice accommodating alternatively nested substitution patterns across the alternatives and random taste variation across the population. The proposed model is applied to off-campus rental apartment choice of students. Results show (i) the estimated model for a universal realm of 200 alternatives and 41 choice sets, (ii) the threshold representation as a function of individual characteristics, and (iii) the feasibility and importance of introducing a flexible error structure into semi-compensatory models.
    Original languageEnglish
    Title of host publicationProceedings of the 12th International Conference on Travel Behavior Research
    PublisherThe International Association for Travel Behaviour Research
    Publication date2009
    Publication statusPublished - 2009
    Event12th International Conference on Travel Behaviour Research - Jaipur, Rajasthan, India
    Duration: 13 Dec 200918 Dec 2009
    Conference number: 12

    Conference

    Conference12th International Conference on Travel Behaviour Research
    Number12
    CountryIndia
    CityJaipur, Rajasthan
    Period13/12/200918/12/2009

    Fingerprint Dive into the research topics of 'Development and estimation of a semi-compensatory model with flexible error structure'. Together they form a unique fingerprint.

    Cite this