Using Count Data Models in Travel Cost Analysis with Aggregate Data
AbstractIn 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 25264.
Date of creation: 1991
Date of revision:
Publication status: Published in American Journal of Agricultural Economics 73.3(1991): pp. 860-866
Boundary Waters Canoe Area; count data; negative binomial; Poisson; travel cost;
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