Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models
By S. Hynes, N. Hanley, Riccardo Scarpa. 2008
274 citations recorded by the source corpus.
Multiattribute-revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in Ireland. This article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model, in terms of the implications for welfare measures of environmental quality and site-access changes. Recreationalists' skill levels are found to affect preferences in both approaches. Statistics for the estimated distribution of welfare changes for the average respondent are computed for changes in site attributes, but contrary to previous work, these are found to be of similar magnitude.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/dca6a771c6e478c5f563c00824b96ccb6f2fb220
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- John M. Rose
- Riccardo Scarpa
- Stephane Hess
- M. Thiene
- Michele Moretto
- R. Cavalli
- Cristiano Franceschinis
- J. A. Gómez‐Limón
In Sociology and Political Science
- Riccardo Scarpa
- M. Thiene
- John M. Rose
- A. Riera
- Robert L. Hicks
- Angel Bujosa
- Michele Moretto
- R. Cavalli
Citations in the corpus
- The design of agri-environmental schemes: Farmers’ preferences in southern Spain (2015, methodology): “, 2011), especially for extracting policy implications (Hynes et al., 2008).”
- Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, methodology): “Researchers have found that when heterogeneous preferences are not properly accounted for, valuable information is discarded and inconsistent estimates and biased welfare measures are obtained (Bhat, 1997; Bhat and Castelar, 2002; Hess et al., 2005; Hynes et al., 2008).”
- Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory (2017, background): “However, when possible, it is desirable to specify a class membership probability model using respondents’ characteristics, as these are more informative for profiling [51], [52], [53], [54].”