Cross‐Context Benefit Transfer: A Bayesian Search for Information Pools
In: American Journal of Agricultural Economics, Band 96, Heft 2, S. 469-488
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In: American Journal of Agricultural Economics, Band 96, Heft 2, S. 469-488
SSRN
In: The B.E. journal of economic analysis & policy, Band 8, Heft 1
ISSN: 1935-1682
Abstract
Resource-managing agencies are increasingly relying on secondary data to predict economic benefits for planned policy interventions. This `transfer of benefits' is often based on a quantitative synthesis of aggregate results for similar past interventions via Meta-Regression Models. However, this approach is generally plagued by the paucity of available 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 circumvent these issues, but may not necessarily enhance the efficiency of transfer functions if the different contexts do not share policy-relevant parameters. We illustrate how different combinations of contexts can be interpreted as `data spaces' which can then be explored for the most promising transfer function using Bayesian Model Search techniques. Our results indicate that model-averaged benefit predictions for scope-augmented data spaces can be more robust and efficient than those flowing from the baseline context and data.
In: Growth and change: a journal of urban and regional policy, Band 30, Heft 3, S. 366-383
ISSN: 1468-2257
ABSTRACT
Several empirical studies have estimated the value of agricultural land as open space to local residents. An important goup of individuals that may be affected by the loss of agricultural land are visitors to a region. The value of ranchland to tourists visiting a resort town in the Rocky Mountains is estimated through a travel cost model that combines information on observed behavior data from actual trips with contingent behavior data on intended current visitation if the resource were converted to urban and resort uses. The value of ranch open space to tourists is the gain or loss in consumer surplus derived from a visit to the study area attributable to the resource. A random effects Poisson regression model is estimated because of the panel nature of the data, accounting for the correlation of the multiple responses from heterogeneous individuals. Twenty‐five percent of the sample would reduce visitation and 23 percent of the sample would increase visitation if ranch open space were converted to urban and resort uses. The overall effect of converting ranch open space to resort and urban uses is no net change in average consumer surplus per trip for summer tourists in general.
In: Society and natural resources, Band 18, Heft 1, S. 75-87
ISSN: 1521-0723
In: The economics of non-market goods and resources, volume 14
This book provides a comprehensive review of environmental benefit transfer methods, issues and challenges, covering topics relevant to researchers and practitioners. Early chapters provide accessible introductory materials suitable for non-economists. These chapters also detail how benefit transfer is used within the policy process. Later chapters cover more advanced topics suited to valuation researchers, graduate students, and those with similar knowledge of economic and statistical theory and methods. This book provides the most complete coverage of environmental benefit transfer methods available in a single location. The book targets a wide audience, including undergraduate and graduate students, practitioners in economics and other disciplines looking for a one-stop handbook covering benefit transfer topics, and those who wish to apply or evaluate benefit transfer methods. It is designed for those both with and without training in economics.
In: The Economics of Non-Market Goods and Resources 14
This book provides a comprehensive review of environmental benefit transfer methods, issues and challenges, covering topics relevant to researchers and practitioners. Early chapters provide accessible introductory materials suitable for non-economists. These chapters also detail how benefit transfer is used within the policy process. Later chapters cover more advanced topics suited to valuation researchers, graduate students, and those with similar knowledge of economic and statistical theory and methods. This book provides the most complete coverage of environmental benefit transfer methods available in a single location. The book targets a wide audience, including undergraduate and graduate students, practitioners in economics and other disciplines looking for a one-stop handbook covering benefit transfer topics, and those who wish to apply or evaluate benefit transfer methods. It is designed for those both with and without training in economics
In: Journal of leisure research: JLR, Band 37, Heft 2, S. 216-235
ISSN: 2159-6417