权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Urban Dynamics in a Complex World: The spatial dynamics of housing

复杂世界中的城市动态：住房的空间动态

基本信息

批准号：
ES/M000486/1
负责人：
Jonathan Halket
金额：
$ 25.25万
依托单位：
Institute for Fiscal Studies
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2014
资助国家：
英国
起止时间：
2014 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FM000486%2F1
关键词：
Urban Dynamics Complex World spatial

项目摘要

Our research will explore why households sometimes choose to own the home they live in and why the rental market may fail to provide an adequate and reasonably priced alternative. As household ownership choices are inherently dynamic (an owner can enjoy benefits from their house in the present and on into the future) and are frequently influenced by location decisions (roughly equivalent rental properties are not always in the same location), we will bring together for the first time a dynamic model of housing tenure choice with an explicit detailed geographic environment. This will enable us to develop a combined understanding of how urban/suburban housing patterns and household savings, mortgage and homeownership decisions jointly influence each other.This research requires three important elements: 1) high quality data on the size, location, quality and price of houses and rental properties, 2) sophisticated models of household housing choices, 3) high performance computers and software. The first part of our project will employ restricted-access data from the English Survey of Housing and from the Land Registry to develop a high-resolution picture of owner-occupied housing, rental housing and the prices of both. Data with this rich detail on the housing market has only recently become available. Using this data, our research will provide a highly detailed look at the availability of both rental and owner-occupied housing and allow us to analyse what factors are the most important drivers of house prices and rents. The second part of our project will build computer models of households to study how households make choices about location, house size and quality as well as about savings and mortgages. The models we will build require advanced computational techniques and high performance computer clusters to simulate and analyse how economic factors, demographic factors and changes in the housing market affect household choices and household welfare.The final part of our project will combine this analysis with information about the supply of housing and government housing policies to study how the housing market and the economy as a whole will respond to large changes in the economic environment. We will use the models we have built and tuned to real data in order to assess the implications of various real-world policies, such as: the "bedroom tax", the effects of mortgage subsidies (e.g. the current government's "Help to Buy" scheme), and issues relating to gentrification.

我们的研究将探讨为什么家庭有时会选择拥有他们居住的房屋，以及为什么租赁市场可能无法提供足够和价格合理的替代方案。由于家庭所有权选择本质上是动态的（业主可以在现在和未来享受房屋带来的好处），并且经常受到位置决策的影响（大致相等的租赁物业并不总是在同一个位置），我们将首次将住房保有权选择的动态模型与明确的详细地理环境结合起来。这将使我们能够对城市/郊区住房模式和家庭储蓄、抵押贷款和住房所有权决策如何共同影响彼此形成综合理解。这项研究需要三个重要要素：1）关于房屋和租赁物业的大小、位置、质量和价格的高质量数据，2）家庭住房选择的复杂模型，3）高性能计算机和软件。我们项目的第一部分将使用英国住房调查和土地登记处的限制访问数据，以绘制业主自住住房、租赁住房及其价格的高分辨率图像。关于房地产市场的这一丰富细节的数据直到最近才公布。利用这些数据，我们的研究将非常详细地了解出租住房和自住住房的可用性，并使我们能够分析哪些因素是房价和租金的最重要驱动因素。我们项目的第二部分将建立家庭的计算机模型，以研究家庭如何选择地点，房屋大小和质量以及储蓄和抵押贷款。我们将建立的模型需要先进的计算技术和高性能的计算机集群来模拟和分析经济因素，人口因素和住房市场的变化会影响家庭的选择和家庭福利。我们项目的最后部分将联合收割机结合有关住房供应和政府住房政策的信息，研究住房市场和整个经济将如何应对经济环境的巨大变化。我们将使用我们已经建立并调整到真实的数据的模型，以评估各种现实政策的影响，例如：“卧室税”，抵押贷款补贴的影响（例如，当前政府的“帮助购买”计划），以及与中产阶级化有关的问题。