Please use this identifier to cite or link to this item:
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
Authors: Colombo, Sergio
Hanley, Nicholas
Contact Email:
Keywords: benefits transfer
choice modelling
Issue Date: 1-Feb-2008
Publisher: The University of Wisconsin Press
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)
Type: Journal Article
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.
Affiliation: IFAPA Centro Camino de Purchil

Files in This Item:
File Description SizeFormat 
Colombo and Hanley final.pdf576.74 kBAdobe PDFUnder Embargo until 31/12/2999     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 dependant 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 providing details and we will remove the Work from public display in STORRE and investigate your claim.