Attribute processing in environmental choice analysis: implications for willingness to pay
AbstractData from a discrete choice experiment is used to investigate the implications of failing to account for attribute processing strategies (APSs). The research was designed to elicit the economic benefits associated with landscape restoration activities that were intended to remediate environmental damage caused by illegal dumping activities. In this paper we accommodate APSs using an equality constrained latent class model. By retrieving the conditional class membership probabilities we recover estimates of the weights that each respondent assigned to each attribute, which we subsequently use ensure unnecessary weight is not allocated to attributes not attended to by respondents. Results from the analysis provide strong evidence that significant gains in models fit as well as more defensible and reliable willingness to pay estimates can be achieved using when the APSs are accounted for.
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Bibliographic InfoPaper provided by Agricultural Economics Society in its series 84th Annual Conference, March 29-31, 2010, Edinburgh, Scotland with number 91718.
Date of creation: 29 Mar 2010
Date of revision:
Attribute processing strategies; environmental restoration; equality constrained latent class model; multinomial logit model; willingness to pay; Environmental Economics and Policy;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-17 (All new papers)
- NEP-DCM-2010-07-17 (Discrete Choice Models)
- NEP-ENV-2010-07-17 (Environmental Economics)
- NEP-TUR-2010-07-17 (Tourism Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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