The purpose of this paper is to empirically compare the out-of-sample predictive capabilities of artificial neural networks, logit and probit models using dichotmous choice contingent valuation survey data. The authors find that feed-forward backpropagation artificial neural networks perform...

Probability judgements are important components of decision making under uncertainty. In particular, economic decisions can be aided by assuring more accurate assessment of probabilities and more realistic modelling of economic problems through the inclusion of subjective probabilities. The...

This study examines the factors the influence the values and importance that landowners place on the attributes of voluntary wetland restoration programs. Choice-based conjoint analysis, a stated preference method, was used to estimate the marginal utilities and values for restoration program...