"We develop a method for determining the economic returns to using original valuation research rather than benefit transfer to estimate nonmarket values for policy analysis purposes. We provide a method to guide policymakers in determining the project sizes for which original research can be...

The choice of weights is a non-nested problem in most applied spatial econometric models. Despite numerous recent advances in spatial econometrics, the choice of spatial weights remains exogenously determined by the researcher in empirical applications. Bayesian techniques provide statistical...

We investigate the effect of panelestimators and sample weighting to improve efficiency of coefficient estimates and confidence intervals on marginal values. Panel estimators are appropriate because most conjoint studies have respondents rate multiple product profiles. Using a random effects...

This paper presents a simple computational method for measuring the difference of independent empirical distributions estimated by bootstrapping or other resampling approaches. Using data from a field test of external scope in contingent valuation, this complete combinatorial method is compared...

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...

The problem of endogenous stratification associated with on-site sampling has been overlooked in the Contingent Valuation Method (CVM). We find that using on-site samples of visitors overstates visitor willingness to pay (WTP) estimates relative to a household sample of visitors, and...

This paper illustrates the use of dual/adaptive control methods to compare passive and active adaptive management decisions in the context of an ecosystem with a threshold effect. Using discrete-time dynamic programming techniques, we model optimal phosphorus loadings under both uncertainty...