Modelling Attribute Non-Attendance in Choice Experiments for Rural Landscape Valuation

Posted: 11 Aug 2009

See all articles by Riccardo Scarpa

Riccardo Scarpa

University of Waikato - Management School

Timothy Gilbride

University of Notre Dame

Danny Campbell

Queen's University Belfast

David A. Hensher

University of Sydney Business School

Date Written: June 2009

Abstract

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, C25, Q26, Q51

Suggested Citation

Scarpa, Riccardo and Gilbride, Timothy and Campbell, Danny and Hensher, David A., Modelling Attribute Non-Attendance in Choice Experiments for Rural Landscape Valuation (June 2009). European Review of Agricultural Economics, Vol. 36, Issue 2, pp. 151-174, 2009, Available at SSRN: https://ssrn.com/abstract=1447108 or http://dx.doi.org/jbp012

Riccardo Scarpa (Contact Author)

University of Waikato - Management School ( email )

Hamilton
New Zealand

Timothy Gilbride

University of Notre Dame ( email )

361 Mendoza College of Business
Notre Dame, IN 46556-5646
United States

Danny Campbell

Queen's University Belfast ( email )

David Leir Building
Belfast, BT9 5AG
Ireland

David A. Hensher

University of Sydney Business School ( email )

Cnr. of Codrington and Rose Streets
Sydney, NSW 2006
Australia
+ 61 2 9351 0071 (Phone)
+ 61 2 9351 0088 (Fax)

HOME PAGE: http://www.its.usyd.edu.au/about_itls/staff/davidh.asp

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
596
PlumX Metrics