Comparing Individual-Specific Benefit Estimates for Public Goods: Finite Versus Continuous Mixing in Logit Models
University of Waikato - Management School
Kenneth G. Willis
CREAM, Centre for Research on Environmental Appraisal & Management, UK; Newcastle University
University of Liverpool
FEEM Working Paper No. 132.04
Multi-attribute stated preference data, derived through choice experiments, is used to investigate the consequence of a finite number of preference groups in a sample of Yorkshire Water residential customers on the conditional distributions of willingness to pay in the sample. The research focuses on 'public good' values, and retrieves the implicit customer specific welfare measures conditional on a sequence of four observed choices. We assess and contrast the sample evidence for the presence of a finite number of 2, 3, 4 and 5 latent preference groups (classes), and contrast these with the presence of a continuous distribution of parameter estimates using mixed logit models. The main focus is the conditional valuations in the form of marginal values for the consequence of waste water handling and treatment, namely: river water quality, area flooding by sewage, presence of odour and flies, and other water related amenities.
Number of Pages in PDF File: 35
Keywords: Choice experiments, Mixed logit, Latent classes, Individual-specific
JEL Classification: C25, C42, H41working papers series
Date posted: November 13, 2004
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