The purpose of this paper is to address a problem that may arise with the assumption of a continuous spatial market in the TCM model. We find that this assumption can be challenged by geographical limitations that an area of study might have. Particularly for islands (or isolated island-like...

Surveys of visitors to National Forests in Colorado were conducted to determine whether different fire ages and presence of crown fires have different effects on hiking and mountain biking recreation visits and benefits. Actual and intended behavior data were combined using a count-data travel...

We update the joint estimation of revealed and stated preference data of previously published research to allow for joint estimation of the Travel Cost Method (TCM) portion using count data models. The TCM estimation also corrects for truncation and endogenous stratification as well as...

A combined telephone contact-mail booklet-telephone interview of California and New England households regarding their willingness to pay for fire management in California and Oregon's old-growth forests was performed to test hypotheses regarding the spatial extent of the public goods market....

This research updates the joint estimation of revealed and stated preference data of Cameron (1992) to allow for joint estimation of the Travel Cost Method (TCM) portion using count data models. Further these count data models reflect correction for truncation and endogenous stratification...

Unlike most hedonic studies that analyze the effects of a one-time event, this paper analyzes the effects of forest fires that are several years apart in a small geographical area. We find that repeated forest fires cause house prices to decrease for houses located near the fires. We test and...

To test the similarity of English- and Spanish-speaking households responses to a contingent valuation survey, phone interviews were conducted in both languages regarding two forest fire prevention programs. While there were similar response rates, there were significant differences in the most...