A comparison of methods for representing random taste heterogeneity in discrete choice models

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A comparison of methods for representing random taste heterogeneity in discrete choice models. / Fosgerau, Mogens; Hess, Stephane.

I: European Transport - Trasporti Europei, 2009.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Fosgerau, M & Hess, S 2009, 'A comparison of methods for representing random taste heterogeneity in discrete choice models', European Transport - Trasporti Europei.

APA

Fosgerau, M., & Hess, S. (2009). A comparison of methods for representing random taste heterogeneity in discrete choice models. European Transport - Trasporti Europei.

Vancouver

Fosgerau M, Hess S. A comparison of methods for representing random taste heterogeneity in discrete choice models. European Transport - Trasporti Europei. 2009.

Author

Fosgerau, Mogens ; Hess, Stephane. / A comparison of methods for representing random taste heterogeneity in discrete choice models. I: European Transport - Trasporti Europei. 2009.

Bibtex

@article{144eb88acaf240378fa0e65bb8589ce7,
title = "A comparison of methods for representing random taste heterogeneity in discrete choice models",
abstract = "This paper reports the findings of a systematic study using Monte Carlo experiments and a real dataset aimed at comparing the performance of various ways of specifying random taste heterogeneity in a discrete choice model. Specifically, the analysis compares the performance of two recent advanced approaches against a background of four commonly used continuous distribution functions. The first of these two approaches improves on the flexibility of a base distribution by adding in a series approximation using Legendre polynomials. The second approach uses a discrete mixture of multiple continuous distributions. Both approaches allow the researcher to increase the number of parameters as desired. The paper provides a range of evidence on the ability of the various approaches to recover various distributions from data. The two advanced approaches are comparable in terms of the likelihoods achieved, but each has its own advantages and disadvantages.",
author = "Mogens Fosgerau and Stephane Hess",
year = "2009",
language = "Udefineret/Ukendt",
journal = "European Transport - Trasporti Europei",
issn = "1825-3997",
publisher = "Universita degli Studi di Trieste",

}

RIS

TY - JOUR

T1 - A comparison of methods for representing random taste heterogeneity in discrete choice models

AU - Fosgerau, Mogens

AU - Hess, Stephane

PY - 2009

Y1 - 2009

N2 - This paper reports the findings of a systematic study using Monte Carlo experiments and a real dataset aimed at comparing the performance of various ways of specifying random taste heterogeneity in a discrete choice model. Specifically, the analysis compares the performance of two recent advanced approaches against a background of four commonly used continuous distribution functions. The first of these two approaches improves on the flexibility of a base distribution by adding in a series approximation using Legendre polynomials. The second approach uses a discrete mixture of multiple continuous distributions. Both approaches allow the researcher to increase the number of parameters as desired. The paper provides a range of evidence on the ability of the various approaches to recover various distributions from data. The two advanced approaches are comparable in terms of the likelihoods achieved, but each has its own advantages and disadvantages.

AB - This paper reports the findings of a systematic study using Monte Carlo experiments and a real dataset aimed at comparing the performance of various ways of specifying random taste heterogeneity in a discrete choice model. Specifically, the analysis compares the performance of two recent advanced approaches against a background of four commonly used continuous distribution functions. The first of these two approaches improves on the flexibility of a base distribution by adding in a series approximation using Legendre polynomials. The second approach uses a discrete mixture of multiple continuous distributions. Both approaches allow the researcher to increase the number of parameters as desired. The paper provides a range of evidence on the ability of the various approaches to recover various distributions from data. The two advanced approaches are comparable in terms of the likelihoods achieved, but each has its own advantages and disadvantages.

UR - http://orbit.dtu.dk/en/publications/a-comparison-of-methods-for-representing-random-taste-heterogeneity-in-discrete-choice-models(869a4ce6-4775-4a30-be56-7f9483106123).html

M3 - Tidsskriftartikel

JO - European Transport - Trasporti Europei

JF - European Transport - Trasporti Europei

SN - 1825-3997

ER -

ID: 273443241