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Models for Analysing Trip-Level Data

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  • T Barmby

    (Department of Economics and Commerce, University of Hull, Hull HU6 7RX, England)

Abstract

A model for the number of trips undertaken by a household is developed. The decision is represented as having a nested structure. It is found that generic data are potentially very much more informative than are background data on household characteristics, and it is concluded that there are gains, in terms of improved models, to be made by exploiting this data source.

Suggested Citation

  • T Barmby, 1988. "Models for Analysing Trip-Level Data," Environment and Planning A, , vol. 20(1), pages 119-123, January.
    • Handle: RePEc:sae:envira:v:20:y:1988:i:1:p:119-123
    DOI: 10.1068/a200119
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    References listed on IDEAS

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    1. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
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    Cited by:

    1. Wiktor Adamowicz & Sarah Jennings & Alison Coyne, 1989. "A Sequential Choice Alternative to the Travel Cost Model," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 37(4), pages 1305-1305, December.

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