期刊
JOURNAL OF AGRICULTURAL ECONOMICS
卷 58, 期 3, 页码 467-483出版社
BLACKWELL PUBLISHING
DOI: 10.1111/j.1477-9552.2007.00117.x
关键词
agri-environment; discrete-choice experiments; mixed logit; panel data; random effects; rural landscapes; willingness to pay
This paper reports the findings from a discrete-choice experiment designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness-to-pay values for every individual in the sample. This departs from customary approaches in which the willingness-to-pay estimates are normally expressed as measures of central tendency of an a priori distribution. Random-effects models for panel data are subsequently used to identify the determinants of the individual-specific willingness-to-pay estimates. In comparison with the standard methods used to incorporate individual-specific variables into the analysis of discrete-choice experiments, the analytical approach outlined in this paper is shown to add considerable explanatory power to the welfare estimates.
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