Skip Navigation



European Review of Agricultural Economics Advance Access published online on July 7, 2009

European Review of Agricultural Economics, doi:10.1093/erae/jbp012
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
36/2/151    most recent
jbp012v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Scarpa, R.
Right arrow Articles by Hensher, D. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© Oxford University Press and Foundation for the European Review of Agricultural Economics 2009; all rights reserved. For permissions, please email journals.permissions@oxfordjournals.org

Modelling attribute non-attendance in choice experiments for rural landscape valuation

Riccardo Scarpa

University of Waikato, Hamilton, New Zealand

Timothy J. Gilbride

University of Notre Dame, Indiana, USA

Danny Campbell

Queen's University Belfast, Northern Ireland

David A. Hensher

University of Sydney, Australia

Corresponding author: Riccardo Scarpa, Department of Economics, Waikato Management School, University of Waikato, Hamilton, New Zealand. E-mail: rscarpa{at}waikato.ac.nz, Web: http://www.mngt.waikato.ac.nz/ric/

Received November 2008; Revision received February 2009. Non-market effects of agriculture are often estimated using discrete choice models from stated preference surveys. In this context we propose two ways of modelling attribute non-attendance. The first involves constraining coefficients to zero in a latent class framework, whereas the second is based on stochastic attribute selection and grounded in Bayesian estimation. Their implications are explored in the context of a stated preference survey designed to value landscapes in Ireland. Taking account of attribute non-attendance with these data improves fit and tends to involve two attributes one of which is likely to be cost, thereby leading to substantive changes in derived welfare estimates.

Keywords: attribute non-attendance, discrete choice modelling, stated preference, latent class models, stochastic attribute selection models

JEL classification: C25, Q26, Q51


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.