Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited

We suggest a novel approach to analyze revealed preference heterogeneity in recreation random utility maximization models when information about users is limited to their place of residence. We assume that recreationists living in the same place act as a “cohort” and that their preferences are hence...

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Main Authors:	Maria De Salvo, Giuseppe Cucuzza, Carlo Prato, Giovanni Signorello
Format:	Article
Language:	English
Published:	Firenze University Press 2020-06-01
Series:	Aestimum
Subjects:	recreation demand heterogeneity location-specific mixed logit model willingness-to-pay space Hunting
Online Access:	https://oaj.fupress.net/index.php/ceset/article/view/7792

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spelling	doaj-42b090fc42bb4570ba73fd6373be08c82020-11-25T03:38:33ZengFirenze University PressAestimum1592-61171724-21182020-06-0176110.13128/aestim-7792Modeling preference heterogeneity in recreation random utility models when relevant information about users is limitedMaria De Salvo0Giuseppe Cucuzza1Carlo Prato2Giovanni Signorello3University of Catania, Department of Agriculture, Food and Environment, Centre for the Conservation and Management of Nature and Agroecosystems (Cutgana), ItalyUniversity of Catania, Department of Agriculture, Food and Environment, Centre for the Conservation and Management of Nature and Agroecosystems (Cutgana), ItalyUniversity of Catania, Centre for the Conservation and Management of Nature and Agroecosystems (Cutgana), ItalyUniversity of Catania, Department of Agriculture, Food and Environment, Centre for the Conservation and Management of Nature and Agroecosystems (Cutgana), ItalyWe suggest a novel approach to analyze revealed preference heterogeneity in recreation random utility maximization models when information about users is limited to their place of residence. We assume that recreationists living in the same place act as a “cohort” and that their preferences are hence homogeneous. We adopt a location-specific distribution criterion. We empirically test the suitability of this spatial approach by comparing its econometric performance and welfare estimates with that of the standard individual framework. We use data on hunting in Sicily to empirically test the cohort approach. Results from individual-specific and location-specific mixed logit models suggest that econometric performance improves when modeling heterogeneity with a location-specific conditional distribution. Further, marginal willingness-to-pay mean values and distributions for site characteristics differ significantly. https://oaj.fupress.net/index.php/ceset/article/view/7792recreation demandheterogeneitylocation-specific mixed logit modelwillingness-to-pay spaceHunting
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Maria De Salvo Giuseppe Cucuzza Carlo Prato Giovanni Signorello
spellingShingle	Maria De Salvo Giuseppe Cucuzza Carlo Prato Giovanni Signorello Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited Aestimum recreation demand heterogeneity location-specific mixed logit model willingness-to-pay space Hunting
author_facet	Maria De Salvo Giuseppe Cucuzza Carlo Prato Giovanni Signorello
author_sort	Maria De Salvo
title	Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited
title_short	Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited
title_full	Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited
title_fullStr	Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited
title_full_unstemmed	Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited
title_sort	modeling preference heterogeneity in recreation random utility models when relevant information about users is limited
publisher	Firenze University Press
series	Aestimum
issn	1592-6117 1724-2118
publishDate	2020-06-01
description	We suggest a novel approach to analyze revealed preference heterogeneity in recreation random utility maximization models when information about users is limited to their place of residence. We assume that recreationists living in the same place act as a “cohort” and that their preferences are hence homogeneous. We adopt a location-specific distribution criterion. We empirically test the suitability of this spatial approach by comparing its econometric performance and welfare estimates with that of the standard individual framework. We use data on hunting in Sicily to empirically test the cohort approach. Results from individual-specific and location-specific mixed logit models suggest that econometric performance improves when modeling heterogeneity with a location-specific conditional distribution. Further, marginal willingness-to-pay mean values and distributions for site characteristics differ significantly.
topic	recreation demand heterogeneity location-specific mixed logit model willingness-to-pay space Hunting
url	https://oaj.fupress.net/index.php/ceset/article/view/7792
work_keys_str_mv	AT mariadesalvo modelingpreferenceheterogeneityinrecreationrandomutilitymodelswhenrelevantinformationaboutusersislimited AT giuseppecucuzza modelingpreferenceheterogeneityinrecreationrandomutilitymodelswhenrelevantinformationaboutusersislimited AT carloprato modelingpreferenceheterogeneityinrecreationrandomutilitymodelswhenrelevantinformationaboutusersislimited AT giovannisignorello modelingpreferenceheterogeneityinrecreationrandomutilitymodelswhenrelevantinformationaboutusersislimited
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Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited

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