On the Class of Attitudinal Discrete Choice Models

Manish Aggarwal

No WP2016-03-07, IIMA Working Papers from Indian Institute of Management Ahmedabad, Research and Publication Department

Abstract: The complex human attitudinal character plays an important role in the real world decision making. To this end, we present a family of extended probabilistic discrete choice models. The attitude-based variants of multinomial logit, probit, nested, and mixed multinomial models are presented. The proposed models are further empowered through their generalization leading to a host of exponential attitudinal discrete choice models. It is shown that the existing models are the special cases of the proposed models that allow to generate a very wide range of choice probabilities in accordance with the adjustable parameter(s). The usefulness of the proposed models in modelling a decision-maker’s decision model is shown in a sequel paper.

Date: 2016-03-04
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iim:iimawp:14421

Access Statistics for this paper

More papers in IIMA Working Papers from Indian Institute of Management Ahmedabad, Research and Publication Department Contact information at EDIRC.
Bibliographic data for series maintained by ().