{"title":"当用户的相关信息有限时,娱乐随机效用模型中偏好异质性的建模","authors":"M. Salvo, G. Cucuzza, C. Prato, G. Signorello","doi":"10.13128/AESTIM-7792","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":53999,"journal":{"name":"Aestimum","volume":"1 1","pages":"5-17"},"PeriodicalIF":0.8000,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling preference heterogeneity in recreation random utility models when relevant information about users is limited\",\"authors\":\"M. Salvo, G. Cucuzza, C. Prato, G. Signorello\",\"doi\":\"10.13128/AESTIM-7792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":53999,\"journal\":{\"name\":\"Aestimum\",\"volume\":\"1 1\",\"pages\":\"5-17\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2020-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aestimum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13128/AESTIM-7792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aestimum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13128/AESTIM-7792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
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 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.
期刊介绍:
Aestimum is a peer-reviewed Journal dedicated to the methodological study of appraisal and land economics. Established in 1976 by the Italian Association of Appraisers and Land Economists, which was legally recognized by Ministerial Decree, March 1993. Topics of interests comprise rural, urban and environmental appraisal, evaluation of public investments and land use planning. All the areas under discussion are addressed to the International scene. The interdisciplinary approach is one of the mainstays of this editorial project and all of the above mentioned topics are developed taking into consideration the economic, legal and urban planning aspects. Aestimum is biannual Journal and publishes articles both in Italian and English. Articles submitted are subjected to a double blind peer review process.