This paper examines strategies for cost-effective management of an endangered species: the Kirtland's Warbler. Population distributions as a function of rotation length are generated using a stochastic simulation model, and these distributions are used to find the rotation age that attains a...

An individual’s rate-of-time-preference is an important consideration for individuals deciding whether to support a public good, since the benefits of a public good often come in the future. Our study finds individual discount rates from a contingent valuation method (CVM) question where the...

The benefits of large patches of tree canopy are estimated by applying a hedonic price model to the sale of single-family residential properties in Portland, Oregon. The first-stage analysis provides evidence of diminishing returns from increasing tree canopy past a certain level. The...

The kind of open space benefit, recreation, or amenity, in our spatial city model determines in part how open space influences residential development. Our model also determines the exact total social benefits of open-space policies by summing together the change in household welfare and...

We extend existing stand-level models of forest landowner behavior in the presence of fire risk to include the level and timing of fuel management activities. These activities reduce losses if a stand ignites. Based on simulations, we find the standard result that fire risk reduces the optimal...

This paper models landowner behavior on timberland subject to damage by fire. We examine how management decisions by adjacent landowners yield outcomes that diverge from the social optimum, and consider how this divergence depends on landowner preferences and information. We conduct a numerical...

We evaluate two financial incentives to encourage nonindustrial forest landowners to undertake activities that mitigate fire losses: sharing of fire suppression costs by the landowner and sharing of fuel reduction costs by the government. First and second best outcomes are identified and...