Benefit transfer is a cost-effective method for estimating the value of environmental goods that relies on information obtained in previous studies. The multiattribute approach of choice experiments should provide advantages in terms of benefit transfer, allowing differences in environmental...

Benefit transfer is a cost-effective method for estimating the value of environmental goods that relies on information obtained in previous studies. The multiattribute approach of choice experiments should provide advantages in terms of benefit transfer, allowing differences in environmental...

The measurement of passive use values has become an important issue in environmental economics. In this paper we examine an extension or variant of contingent valuation, the choice experiment, which employs a series of questions with more than two alternatives that are designed to elicit...

Benefit transfer is increasingly being used by decision makers as a way of estimating environmental values suitable for use in benefit cost analysis. However, recent studies examining the validity of benefit transfer of passive use values estimated using contingent valuation have rejected the...

In many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in-depth surveys administered to fewer respondents. We report on a study using high quality rank-ordered data elicited with the...

Multiattribute-revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in Ireland. This article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model,...

Multiattribute-revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in Ireland. This article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model,...