Using Count Data Models in Travel Cost Analysis with Aggregate Data

American Journal of Agricultural Economics 73 (4, November): 860-867

8 Pages Posted: 24 Feb 2016

See all articles by Daniel Hellerstein

Daniel Hellerstein

U.S. Department of Agriculture (USDA) - Economic Research Service (ERS), Resource and Rural Economics Division

Date Written: November 22, 1991

Abstract

In order to control for censoring and the integer nature of trip demand, the use of count data 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 count data models are used to estimate a county-level travel cost model using permit data from the Boundary Waters Canoe Area.

Keywords: Boundary Waters Canoe Area, count data, negative binomial, Poisson, travel cost

JEL Classification: Q26, C25

Suggested Citation

Hellerstein, Daniel, Using Count Data Models in Travel Cost Analysis with Aggregate Data (November 22, 1991). American Journal of Agricultural Economics 73 (4, November): 860-867. Available at SSRN: https://ssrn.com/abstract=2736643

Daniel Hellerstein (Contact Author)

U.S. Department of Agriculture (USDA) - Economic Research Service (ERS), Resource and Rural Economics Division ( email )

355 E Street, SW
Washington, DC 20024-3221
United States
202-694-5613 (Phone)
202-694-5756 (Fax)

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