...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation Research Part B: Methodological >Intra-household Interaction In A Nuclear Family: A Utility-maximizing Approach
【24h】

Intra-household Interaction In A Nuclear Family: A Utility-maximizing Approach

机译：核心家庭中的家庭内部互动：效用最大化方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper investigates the joint resource allocation of households using a utility-maximizing model. The joint time allocation model is formulated, from which a nonlinear Tobit model is derived. The model parameters are estimated using empirical data collected through household time allocation surveys held in 2003 in Tokyo and Toyama, Japan. Four models - a weekday model and a weekend day model for Tokyo and Toyama each - are estimated. The empirical analysis reveals the common characteristics between the two cities - with respect to the child's gender; the husband's weekly non-working days, allowance, and job; and the wife's age and job - that significantly influence the household's welfare. The empirical analysis also reveals different characteristics between the two cities. First, the greater the number of children in a household, the higher is the significance of the husband and wife's joint out-of-home leisure activity on a weekday for household welfare in Tokyo, and the lower is the same in Toyama. Second, the greater the non-working days of the husbands, the lower is the significance of their individual out-of-home leisure activities on a weekday for household welfare in Tokyo and the higher is the same in Toyama. These characteristics may reflect the local's attitudes in intra-household interaction.
机译：本文利用效用最大化模型研究了家庭的联合资源分配。建立了联合时间分配模型，从中推导出非线性的Tobit模型。模型参数是根据2003年在日本东京和富山进行的家庭时间分配调查收集的经验数据估算的。估计有四种模型-分别是东京和富山的工作日模型和周末模型。实证分析揭示了两个城市之间的共同特征-就孩子的性别而言；丈夫每周的非工作日，津贴和工作；以及妻子的年龄和工作-极大地影响了家庭的福利。实证分析还揭示了两个城市之间的不同特征。首先，一个家庭中的孩子数量越多，在平日中夫妻共同开展的户外休闲活动对东京的家庭福利的意义就越大，而富山县的这一点就越低。其次，在东京，丈夫的非工作日越长，他们平日进行个人户外休闲活动对家庭福利的重要性就越低，而富山市则更高。这些特征可能反映了当地人在家庭内部互动中的态度。

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