We describe and employ a Bayesian posterior simulator for fitting a high-dimensional system of ordinal or count outcome equations. The model is then applied to describe the multiple site recreation demands of individual agents, and we argue that our approach provides advantages relative to...

We develop a Bayesian posterior simulator for fitting a high dimensional system of ordinal or count outcome equations, illustrating its use by modeling the multiple site recreation demands of individual agents to a set of twenty-nine Iowa lakes. The model flexibly adjusts to match observed...

On March 23, 1989, the Exxon Valdez ran aground in Alaska's Prince William Sound and released over 250,000 barrels of crude oil, resulting in 1300 miles of oiled shoreline. The Exxon spill ignited a debate about the appropriate compensation for damages suffered, and among economists, a debate...

A new turn in the research agenda of environmental valuation is under way. Rather than treating stated preference (SP) and revealed preference (RP) as competing valuation techniques, analysts have begun to view them as complementary, where the strengths of each approach can be used to provide...

Recreation demand models typically incorporate measures of the physical attributes of recreational sites; e.g., Secchi depth or phosphorous levels in case of water quality. Moreover, most studies show that individuals do respond to these physical characteristics in choosing where to recreate....

Manski [13] proposed an approach for dealing with a particular form respondentuncertainty in discrete choice settings, particularly relevant in survey based researchwhen the uncertainty stems from the incomplete description of the choice scenarios.Specically, he suggests eliciting choice...