Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach

In this paper, we examine heterogeneity in the trip preferences of recreationists. We apply a random parameters negative binomial model and a latent class negative binomial model to a panel dataset of beach users at a site on the west coast of Ireland, where access across farmland has been restricte...

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Main Authors: Hynes, S., Greene, William
Format: Journal Article
Published: Wiley-Blackwell 2016
Online Access:http://hdl.handle.net/20.500.11937/53788
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author Hynes, S.
Greene, William
author_facet Hynes, S.
Greene, William
author_sort Hynes, S.
building Curtin Institutional Repository
collection Online Access
description In this paper, we examine heterogeneity in the trip preferences of recreationists. We apply a random parameters negative binomial model and a latent class negative binomial model to a panel dataset of beach users at a site on the west coast of Ireland, where access across farmland has been restricted. This approach allows us to account for heterogeneity with respect to the impact of the chosen explanatory variables in a contingent behaviour travel cost model of demand where the researcher must also account for the fact that the sample data has been collected on-site. The analysis also develops individual consumer surplus estimates and finds that estimates are systematically affected by both the random parameter and latent class specifications. There is also evidence that accounting for individual heterogeneity improves the statistical fit of the models and provides a more informative description of the drivers of recreationalist trip behaviour.
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institution Curtin University Malaysia
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publishDate 2016
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spelling curtin-20.500.11937-537882017-09-13T16:11:45Z Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach Hynes, S. Greene, William In this paper, we examine heterogeneity in the trip preferences of recreationists. We apply a random parameters negative binomial model and a latent class negative binomial model to a panel dataset of beach users at a site on the west coast of Ireland, where access across farmland has been restricted. This approach allows us to account for heterogeneity with respect to the impact of the chosen explanatory variables in a contingent behaviour travel cost model of demand where the researcher must also account for the fact that the sample data has been collected on-site. The analysis also develops individual consumer surplus estimates and finds that estimates are systematically affected by both the random parameter and latent class specifications. There is also evidence that accounting for individual heterogeneity improves the statistical fit of the models and provides a more informative description of the drivers of recreationalist trip behaviour. 2016 Journal Article http://hdl.handle.net/20.500.11937/53788 10.1111/1477-9552.12143 Wiley-Blackwell restricted
spellingShingle Hynes, S.
Greene, William
Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach
title Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach
title_full Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach
title_fullStr Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach
title_full_unstemmed Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach
title_short Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach
title_sort preference heterogeneity in contingent behaviour travel cost models with on-site samples: a random parameter vs. a latent class approach
url http://hdl.handle.net/20.500.11937/53788