This article models the recreation demand for Iowa wetlands, combining survey data on both actual usage patterns (i.e., revealed preferences (RPs)) and anticipated changes to those patterns under hypothetical increases in trip costs (i.e., stated preferences (SPs)). We formulate and test...

In this paper we examine the performance of nested logit models in the face of two specification errors. The first specification error arises when a nested logit model is appropriate, but the wrong nesting structure is chosen. The second specification error occurs when the underlying stochastic...

Random utility models (RUMs) are used in the literature to model consumer choices from among a discrete set of alternatives, and they typically impose a constant marginal utility of income on individual preferences. This assumption is driven partially by the difficulty of constructing welfare...

The Kuhn-Tucker model of Wales and Woodland (1983) provides a utility theoretic framework for estimating preferences over commodities for which individuals choose not to consume one or more of the goods. Due to the complexity of the model, however, there have been few applications in 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...

This impressive volume analyzes revealed preference approaches to modelling the demand for recreational resources. It presents one of the most thorough treatments of methods that rely on observed behavior to estimate the value of environmental amenities. The authors have brought together a...

1. Resource evaluation and public policy -- 2. Measuring values, benefits, and costs : an overview -- 3. Welfare measures : definitions and concepts -- 4. Welfare measures : theoretical basis for empirical assessment -- 5. Valuing changes in risk -- 6. Aggregation of values across time -- 7....