Intertemporal Data and Travel Cost Analysis

Environmental & Resource Economics, 1993, vol. 3, issue 2, pages 193-207

15 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: April 22, 1993

Abstract

This paper considers the use of multi-year data in travel cost analysis. To exploit the information embedded within intertemporal data, two broad approaches are examined: multiple year cross sections and panel models. Multiple year cross sections can be used to detect trends, and to test for stability of behavior. Panel models can be used to control for unobservable factors that are individual specific. Unfortunately, the low intertemporal variability of travel cost data sets weakens the power of panel estimators. Using aggregate data from the Boundary Waters Canoe Area, the stability of demand processes over the 1980–1986 period is investigated, as well as the problems inherent in using panel estimators in travel cost analysis.

Keywords: travel cost analysis, count models, intertemporal data, Boundary Waters Canoe Area, multiple cross section, random effects, fixed effects

JEL Classification: C32, C33, Q26

Suggested Citation

Hellerstein, Daniel, Intertemporal Data and Travel Cost Analysis (April 22, 1993). Environmental & Resource Economics, 1993, vol. 3, issue 2, pages 193-207 . Available at SSRN: https://ssrn.com/abstract=2736634

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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