Employing a unique and rich data set of water quality attributes in conjunction with detailed household characteristics and trip information, we develop a mixed logit model of recreational lake usage and undertake thorough model specification and fitting procedures to identify the best set of...

This paper incorporates a rich set of physical water quality attributes, as well as site and household characteristics, into a model of recreational lake usage in Iowa. Our analysis shows individuals are responsive to physical water quality measures and WTP estimates are reported based on...

The paper examines the Kuhn Tucker model in the context of estimating recreation demand when the choice set it very large. It examines the temporal stability of parameter estimates using multiple years of data on trips to 127 lakes in Iowa made by households in Iowa. The study finds that for the...

This paper examines the status of women in the environmental economics profession in terms of their representation and impact. Three indicators are used to gauge the status of women in the profession. They are the representation of women in academia in the United States and Canada, the...

This article examines the status of women in the environmental economics profession in terms of their representation and impact. Three indicators are used to gauge the status of women in the profession. They are the representation of women in academia in the United States and Canada, the...

Employing a unique and rich data set of water quality attributes in conjunction with detailed household characteristics and trip information, we develop a mixed logit model of recreational lake usage and undertake thorough model specification and fitting procedures to identify the best set of...

Recreation demand models are typically plagued by limited information on site attributes. If these unobserved site attributes are correlated with the observed characteristics and/or the travel cost variable, the resulting parameter estimates are likely to be biased. We develop a Bayesian...