Discrete choice models with multiplicative error terms

M. Fosgerau, Michel Bierlaire

55 Citations (Scopus)

Abstract

The conditional indirect utility of many random utility maximization (RUM) discrete choice models is specified as a sum of an index V depending on observables and an independent random term ε. In general, the universe of RUM consistent models is much larger, even fixing some specification of V due to theoretical and practical considerations. In this paper, we explore an alternative RUM model where the summation of V and ε is replaced by multiplication. This is consistent with the notion that choice makers may sometimes evaluate relative differences in V between alternatives rather than absolute differences. We develop some properties of this type of model and show that in several cases the change from an additive to a multiplicative formulation, maintaining a specification of V, may lead to a large improvement in fit, sometimes larger than that gained from introducing random coefficients in V.

Original languageEnglish
JournalTransportation Research Part B: Methodological
Volume43
Issue number5
Pages (from-to)494-505
Number of pages12
ISSN0191-2615
DOIs
Publication statusPublished - Jun 2009

Keywords

  • Discrete choice
  • Heteroscedasticity
  • Multiplicative specification
  • Multivariate extreme value
  • Random scale

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