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Choice set generation within the generalized extreme value family of discrete choice models

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  • Swait, Joffre

Abstract

This paper introduces a new member of the generalized extreme value (GEV) family of discrete choice models that directly incorporates choice set generation modeling into the specification via the GEV generating function. Though still a two-stage model of choice set generation and choice, the proposed model specifies choice set generation endogenously and directly reflective of preferences, which further differentiates it from extant models of choice set formation. The properties of the model, denominated GenL (choice set Generation Logit), are examined in detail. A case study involving intercity mode choice by non-business travelers is presented to illustrate model estimation and interpretation, as well as to obtain insights into possible data generation process characteristics that lead to violation of GEV conditions for the model.

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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 35 (2001)
Issue (Month): 7 (August)
Pages: 643-666

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Handle: RePEc:eee:transb:v:35:y:2001:i:7:p:643-666

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Cited by:
  1. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
  2. Berry Blijie, 2004. "A Theoretical Model for Measuring the Influence of Accessibility in Residential Choice Behaviour," ERSA conference papers ersa04p185, European Regional Science Association.
  3. Tim R.L. Fry & Mark N. Harris, 2002. "The DOGEV Model," Monash Econometrics and Business Statistics Working Papers 7/02, Monash University, Department of Econometrics and Business Statistics.
  4. Sigal Kaplan & Yoram Shiftan & Shlomo Bekhor, 2011. "A Semi-Compensatory Residential Choice Model With Flexible Error Structure," ERSA conference papers ersa10p65, European Regional Science Association.
  5. Deutsch, Kathleen E & Yoon, Seo Youn & Goulias, Konstadinos G., 2011. "Using Sense of Place to Model Behavioral Choices," University of California Transportation Center, Working Papers qt78t5j0x1, University of California Transportation Center.
  6. Hicks, Robert L. & Schnier, Kurt E., 2010. "Spatial regulations and endogenous consideration sets in fisheries," Resource and Energy Economics, Elsevier, vol. 32(2), pages 117-134, April.
  7. Coltman, Tim & Devinney, Timothy M. & Keating, Byron W., 2010. "Best-worst scaling approach to predict customer choice for 3PL services," MPRA Paper 40492, University Library of Munich, Germany.
  8. Mike Burton & Dan Rigby, 2009. "Hurdle and Latent Class Approaches to Serial Non-Participation in Choice Models," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(2), pages 211-226, February.
  9. J.R. DeShazo & Trudy Ann Cameron & Manrique Saenz, 2001. "Test of Choice Set Misspecification for Discrete Models of Consumer Choice," University of Oregon Economics Department Working Papers 2003-7, University of Oregon Economics Department, revised 05 Nov 2001.

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