This study proposes a new approach to utilize information from existing choice experiments to predict policy outcomes for a transfer setting. Recognizing the difficulties from pooling raw data from experiments with different designs and sub-populations we first re-estimate all underlying Random...

Meta-functional Benefit Transfer, while conceptually attractive, is often plagued by the paucity of available source studies and related small sample problems. A broadening of scope of the Meta-Regression Model by adding data from “related, yet different” contexts or activities may...

Benefit transfer uses research results from pre-existing primary research to predict welfare estimates for other sites of policy significance for which primary valuation estimates are unavailable. Despite the sizable literature and the ubiquity of benefit transfer in policy analysis, the method...

Selection effects include seemingly independent influences on, and choices in, conducting and reporting primary research that may bias a stock of knowledge. Such effects may arise from sociopolitical influences (research priority selection), researcher choices (methodology selection), peer...

This article provides a practical, applied analysis of optimal targeting in agricultural land preservation, comparing the performance of four alternative targeting strategies. Nonmarket benefit data and hedonic cost estimates are used for parcels in Sussex County, Delaware. The results show that...

Despite prior studies examining willingness to pay for farmland preservation there has been no quantitative, systematic analysis of findings across the literature. This paper presents the first statistical meta-analysis of farmland preservation values. Results confirm systematic variations in...