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Using Count Data Models in Travel Cost Analysis with Aggregate Data

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  • Hellerstein, Daniel

Abstract

In order to control for censoring and the integer nature of trip demand, the use of count ata models in travel cost analysis is attractive. Two such models, the Poisson and negative binomial, are discussed. Robust estimation techniques that loosen potentially stringent distributional assumptions are also reviewed. For illustrative purposes, several ount data models are used to estimate a county-level travel cost model using permit ata from the Boundary Waters Canoe Area.

Suggested Citation

  • Hellerstein, Daniel, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," MPRA Paper 25264, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:25264
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    File URL: https://mpra.ub.uni-muenchen.de/25264/1/MPRA_paper_25264.pdf
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    Keywords

    Boundary Waters Canoe Area; count data; negative binomial; Poisson; travel cost;

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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