Using Actual and Contingent Behavior Data with Differing Levels of Time Aggregation to Model Recreation Demand

A model of recreation demand is developed to determine the role of water levels in determining participation at and frequency of trips taken to various federal reservoirs and rivers in the Columbia River Basin. Contingent behavior data are required to break the near-perfect multicollinearities among...

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Bibliographic Details
Main Authors: Trudy Ann Cameron, W. Douglass Shaw, Shannon E. Ragland, J. Mac Callaway, Sally Keefe
Format: Article
Language:English
Published: Western Agricultural Economics Association 1996-07-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/30996
Description
Summary:A model of recreation demand is developed to determine the role of water levels in determining participation at and frequency of trips taken to various federal reservoirs and rivers in the Columbia River Basin. Contingent behavior data are required to break the near-perfect multicollinearities among water levels at some waters. We combine demand data for each survey respondent at different levels of time aggregation (summer months, rest of year, and annual), and our empirical models accommodate the natural heteroskedasticity that results. Our empirical results show it to be quite important to control carefully for survey nonresponse bias.
ISSN:1068-5502
2327-8285