Change search
ReferencesLink to record
Permanent link

Direct link
Extreme values, invariance and choice probabilities
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.ORCID iD: 0000-0001-9507-9185
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
2014 (English)In: Transportation Research Part B: Methodological, ISSN 0191-2615, Vol. 59, 81-95 p.Article in journal (Refereed) Published
Abstract [en]

Since the pioneering work of McFadden (1974), discrete choice random-utility models have become work horses in many areas in transportation analysis and economics. In these models, the random variables enter additively or multiplicatively and the noise distributions take a particular parametric form. We show that the same qualitative results, with closed-form choice probabilities, can be obtained for a wide class of distributions without such specifications. This class generalizes the statistically independent distributions where any two c.d.f.:s are powers of each others to a class that allows for statistical dependence, in a way analogous to how the independent distributions in the MNL models were generalized into the subclass of MEV distributions that generates the GEV choice models. We show that this generalization is sufficient, and under statistical independence also necessary, for the following invariance property: all conditional random variables, when conditioning upon a certain alternative having been chosen, are identically distributed. While some of these results have been published earlier, we place them in a general unified framework that allows us to extend several of the results and to provide proofs that are simpler, more direct and transparent. Well-known results are obtained as special cases, and we characterize the Gumbel, Frechet and Weibull distributions.

Place, publisher, year, edition, pages
2014. Vol. 59, 81-95 p.
Keyword [en]
extreme values, discrete choice, choice probabilities, random utility, invariance
National Category
Transport Systems and Logistics Economics
URN: urn:nbn:se:kth:diva-71737DOI: 10.1016/j.trb.2013.10.014ISI: 000330917700005ScopusID: 2-s2.0-84889668182OAI: diva2:486944
TrenOp, Transport Research Environment with Novel PerspectivesKnut and Alice Wallenberg Foundation

QC 20140314

Available from: 2012-01-31 Created: 2012-01-31 Last updated: 2014-03-14Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Mattsson, Lars-GöranWeibull, JörgenLindberg, Per Olov
By organisation
Traffic and LogisticsMathematics (Dept.)Transport and Location AnalysisCentre for Transport Studies, CTS
In the same journal
Transportation Research Part B: Methodological
Transport Systems and LogisticsEconomics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 53 hits
ReferencesLink to record
Permanent link

Direct link