首页> 外文期刊>Transportation >Understanding tourists'expenditure patterns: a stochastic frontier approach within the framework of multiple discrete-continuous choices
【24h】

Understanding tourists'expenditure patterns: a stochastic frontier approach within the framework of multiple discrete-continuous choices

机译:了解游客的高级模式:多个离散 - 连续选择的框架内的随机前沿方法

获取原文
获取原文并翻译 | 示例
           

摘要

This article analyzes the determinants of tourists' expenditure behavior through the joint adoption of two microeconometric approaches, namely, the Stochastic Frontier (SF) and the Multiple Discrete Continuous Extreme Value (MDCEV) model. Despite the attention that analysts have dedicated to consumers' expenditure behavior in recent years, several limitations concerning the role of budget and the phases of money allocation are still affecting the literature on the topic. In this study, the SF is employed to identify the unobserved individual maximum level of spending allotted for a trip. Once estimated, the frontier is included as a travel budget in the utility-maximizing framework of a MDCEV model. The MDCEV approach allows to simultaneously assess two moments characterizing spending decisions. That is, the decision to allocate the budget to several expenditure categories and the decision concerning the amount to allocate to each category. Data adopted for this research is collected by the Swiss Statistical Office (UST) through a representative Household Budget Survey (Haushaltsbudgeterhebung). Data related to Swiss residents' leisure travel expenditures are investigated; more specifically, the expenditure categories considered in the analysis are Accommodation, Transportation, Shopping and Food & Beverage.
机译:本文通过联合采用两种微生物方法,即随机前沿(SF)和多个离散的连续极值(MDCEV)模型来分析游客支出行为的决定因素。尽管分析师近年来致力于消费者的支出行为,但有关预算的作用及金钱分配阶段的几个限制仍然影响了该专题的文献。在本研究中,使用SF来识别分配旅行的未观察到的个人最高支出水平。一旦估计,将在MDCEV模型的实用性最大化框架中包含前沿作为旅行预算。 MDCEV方法允许同时评估表征支出决策的两个矩。也就是说,决定将预算分配到几个支出类别以及关于为每个类别分配的金额的决定。本研究采用的数据由瑞士统计局(UST)通过代表性的家庭预算调查(HaushaltsBudgeterhebung)收集。调查与瑞士居民休闲旅行支出有关的数据;更具体地说,分析中考虑的支出类别是住宿,运输,购物和食品和饮料。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号