|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||How Can We Reduce the Errors from Benefits Transfer? An Investigation Using the Choice Experiment Method|
|Citation:||Colombo S & Hanley N (2008) How Can We Reduce the Errors from Benefits Transfer? An Investigation Using the Choice Experiment Method, Land Economics, 84 (1), pp. 128-147.|
|Abstract:||Policymakers are increasingly making use of benefits transfer in benefit-cost assessments of environmental policy. An important question is how big the resultant errors are, and how sensitive errors are to how the transfer is conducted. We employ a choice experiment focusing on landscape attributes to investigate the sensitivity of transfer error to procedures. The main findings are that errors depend on the choice of study site at which original valuations are sought, on whether a single site or pooled model is used; and that adding more information by pooling sites does not always seem to be economically desirable. (JEL Q51)|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.|
|Colombo and Hanley final.pdf||576.74 kB||Adobe PDF||Under Permanent Embargo Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.