Multinomial choice models based on Archimedean copulas

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Multinomial choice models based on Archimedean copulas. / Schwiebert, Jörg.

in: AStA Advances in Statistical Analysis, Jahrgang 100, Nr. 3, 01.07.2016, S. 333-354.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Schwiebert J. Multinomial choice models based on Archimedean copulas. AStA Advances in Statistical Analysis. 2016 Jul 1;100(3):333-354. Epub 2015. doi: 10.1007/s10182-015-0262-8

Bibtex

@article{77d436341c8645b085381d13ec49a16d,
title = "Multinomial choice models based on Archimedean copulas",
abstract = "Multinomial choice models are used for the analysis of unordered, mutually exclusive choice alternatives. Conventionally used multinomial choice models are the multinomial logit, nested logit, multinomial probit and random parameters logit models. This paper develops multinomial choice models based on Archimedean copulas. In contrast to the multinomial logit and nested logit models, no independence of irrelevant alternatives property is implied. Moreover, copula-based multinomial choice models are more parsimonious than the multinomial probit and random parameters logit models, which makes them attractive from a computational point of view and makes them particularly suitable for prediction purposes. When the number of alternatives becomes large, additional complexity can be introduced using nested Archimedean copulas. Nested structures can often be motivated from individual behavior. The paper also considers an empirical application to travel mode choice. It is found that copula-based multinomial choice models provide a good compromise between fit and parsimony.",
keywords = "Economics",
author = "J{\"o}rg Schwiebert",
year = "2016",
month = jul,
day = "1",
doi = "10.1007/s10182-015-0262-8",
language = "English",
volume = "100",
pages = "333--354",
journal = "AStA Advances in Statistical Analysis",
issn = "1863-8171",
publisher = "German Statistical Society",
number = "3",

}

RIS

TY - JOUR

T1 - Multinomial choice models based on Archimedean copulas

AU - Schwiebert, Jörg

PY - 2016/7/1

Y1 - 2016/7/1

N2 - Multinomial choice models are used for the analysis of unordered, mutually exclusive choice alternatives. Conventionally used multinomial choice models are the multinomial logit, nested logit, multinomial probit and random parameters logit models. This paper develops multinomial choice models based on Archimedean copulas. In contrast to the multinomial logit and nested logit models, no independence of irrelevant alternatives property is implied. Moreover, copula-based multinomial choice models are more parsimonious than the multinomial probit and random parameters logit models, which makes them attractive from a computational point of view and makes them particularly suitable for prediction purposes. When the number of alternatives becomes large, additional complexity can be introduced using nested Archimedean copulas. Nested structures can often be motivated from individual behavior. The paper also considers an empirical application to travel mode choice. It is found that copula-based multinomial choice models provide a good compromise between fit and parsimony.

AB - Multinomial choice models are used for the analysis of unordered, mutually exclusive choice alternatives. Conventionally used multinomial choice models are the multinomial logit, nested logit, multinomial probit and random parameters logit models. This paper develops multinomial choice models based on Archimedean copulas. In contrast to the multinomial logit and nested logit models, no independence of irrelevant alternatives property is implied. Moreover, copula-based multinomial choice models are more parsimonious than the multinomial probit and random parameters logit models, which makes them attractive from a computational point of view and makes them particularly suitable for prediction purposes. When the number of alternatives becomes large, additional complexity can be introduced using nested Archimedean copulas. Nested structures can often be motivated from individual behavior. The paper also considers an empirical application to travel mode choice. It is found that copula-based multinomial choice models provide a good compromise between fit and parsimony.

KW - Economics

UR - http://www.scopus.com/inward/record.url?scp=84947093662&partnerID=8YFLogxK

U2 - 10.1007/s10182-015-0262-8

DO - 10.1007/s10182-015-0262-8

M3 - Journal articles

AN - SCOPUS:84947093662

VL - 100

SP - 333

EP - 354

JO - AStA Advances in Statistical Analysis

JF - AStA Advances in Statistical Analysis

SN - 1863-8171

IS - 3

ER -

DOI