A study on space-time changes in land prices based on the land price data-base in Tokyo Metropolitan Area

基于东京都地区地价数据库的地价时空变化研究

基本信息

批准号：
09650578
负责人：
ANDO Asao
金额：
$ 2.05万
依托单位：
TOHOKU UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09650578/
关键词：
land prices public notification space-time database diffusion model space-time autocorrelation overlapping generation model spatial weight matrix ヘドニック関数

项目摘要

This study is aimed at clarifying the space-time characteristics of land asset bubbles from three different viewpoints.The first is to check whether the diffusion process succeeds in reproducing the space-time changes in land prices when the data from the downward phase being included. Thus we first extend our data period to 1996 from the original duration of 1976 to 91. The compilation procedure includes estimations of 21 cross-sectional land price functions, whose parameters are to summarize the changes in land price formations in Tokyo Metropolitan Area. Accordingly, chapter 1 is devoted to the discussions on the technical alterations needed to extend our data base along with the chronological changes in parameters in land price functions. Chapter 2 utilizes the data base obtained above to examine the applicability of the diffusion model to the downward phase. The parameters obtained from both one and two-dimensional models are compared with those based on the data limited to the uprising phase.The second direction is to analyze the data as the spatial or space-time autocorrelation processes. In preparation for the direction, chapter 3 reviews the methods of hypothesis testing and parameter estimation under spatial autocorrelation. As an application, chapter 4 discusses a spatial error autocorrelation model with the hierarchical spatial weights, and applies the model to the land price data in Kawasaki City.Unlike the previous two directions, the third one is an effort to theoretically explain land price formations based on the dynamic behaviors of economic agents. An overlapping generation model considering land and financial assets may serve for the purpose. Along this line, chapter 5 formulates a prototype model that considers the saving behavior of households.

这项研究的目的是从三个不同的角度阐明土地资产气泡的时空特征。首先是检查扩散过程是否成功地重现了包括下降阶段的数据的数据时，土地价格的变化。因此，我们首先将数据阶段从1996年的原始持续时间延长至91。汇编程序包括对21个横截面土地价格功能的估计，其参数是总结东京大都市地区土地价格构成的变化。因此，第1章专门讨论扩展我们的数据库所需的技术变化以及土地价格功能参数的时间顺序变化。第2章利用上面获得的数据库来检查扩散模型对向下阶段的适用性。将从一个和二维模型获得的参数与基于限于起义阶段的数据进行比较。第二个方向是将数据分析为空间或时空自相关过程。为了准备方向，第3章回顾了空间自相关下的假设检验和参数估计的方法。作为应用程序，第4章讨论了具有层次空间权重的空间误差自相关模型，并将模型应用于川崎市的土地价格数据。与前两个方向相同，第三个方向是从理论上解释基于经济经济特工动态行为的土地价格形成的努力。考虑土地和金融资产的重叠生成模型可能会为此目的服务。沿着这一行，第5章制定了一个原型模型，该模型考虑了家庭的储蓄行为。