When using a willingness-to-pay (WTP) format in contingent valuation (CV) to value water-shed restoration, respondents may protest by questioning why they should pay to clean up a pollution problem that someone else created. Using a sample selection interval data model based on Bhat (1994) and...

We estimate a system-of-equations model designed to measure the interaction between intertemporal patterns of changes in population, employment, and agricultural land densities. The model is applied to West Virginia for the 1990-1999 period. Consistent with recent findings on migration patterns,...

Despite the many important uses (and potential abuses) of focus groups in survey design, the CV literature presents few guidelines to aid moderators in their interaction with focus group participants. This paper draws on the theory and practice of ethnographic interviewing to introduce general...

Differential property tax policy for farmland is often set under conditions of uncertainty and limited information regarding landowners' objective functions. This study examines optimal differential tax policy for a parcel of agricultural land facing uncertain development, identifying instances...

This paper presents a multinational meta-analysis estimated to identify systematic components of willingness to pay for surface water quality improvements, developed to support benefit transfer for Canadian policy development. Metadata are drawn from stated preference studies that estimate WTP...

The rural public may not only be concerned with the consequences of land management; residents may also have systematic preferences for policy instruments applied to management goals. Preferences for outcomes do not necessarily imply matching support for the underlying policy process. This study...

Stated preference scenarios often provide information on intermediate biophysical processes but omit information on the resulting final services that provide utility. This may cause respondents to speculate about the effects of intermediate outcomes on their welfare, leading to biased welfare...