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Geography, housing prices, and interregional migration.

机译：地理，房价和区域间移民。

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摘要

This dissertation consists of three papers that explore the intersection between geography and housing markets. The research examines both how geographic context shapes housing prices and how house prices influence geography through household location decisions.; The first paper explores the spatial structure of housing prices within Tucson, Arizona. Hedonic house-price studies typically assume that housing attribute prices are constant over space. The research tests this assumption and compares two methods of incorporating spatial-varying parameters into house-price models: geographically weighted regression and the spatial expansion method. The results provide evidence that housing attribute prices do indeed vary with geographic context and suggest that more reliable parameter estimates and better house-price estimation accuracy can be achieved through the use of these techniques.; The second paper builds upon the first by examining how more realistic conceptions of housing market spatial structure influence the hedonic price estimates of location-specific externalities. The empirical analysis examines how two key spatial effects, spatial dependence and spatial heterogeneity, impact the marginal price estimates for proximity to the Rillito River, within Tucson, Arizona. Both spatial effects are found to influence the resulting estimates, but spatial heterogeneity is of greater practical importance as the price estimates vary widely with geographic context. This research highlights the importance of considering both spatial effects in hedonic externality valuations.; The final paper explores how housing prices influence interregional migration patterns, and more specifically, how their influence varies with both stage in the life course and educational attainment. The research models metropolitan migration within the United States during the period 1995 to 2000. The results indicate that housing prices play an important role in driving regional demographic change, as their influence varies with both demographic characteristics. High housing prices deter individuals in their late twenties and early thirties, but their influence wanes during middle age. House prices become more important as individuals near retirement. The results also provide evidence that college graduates respond more to house price differentials than do persons with lower levels of educational attainment.
机译：本文由三篇论文组成，探讨了地理学与住房市场之间的交集。该研究考察了地理环境如何影响房价以及房价如何通过家庭位置决定影响地理。第一篇论文探讨了亚利桑那州图森市房价的空间结构。享乐主义的房屋价格研究通常假设房屋属性价格在整个空间中是恒定的。该研究测试了这一假设，并比较了将空间变化参数纳入房屋价格模型的两种方法：地理加权回归法和空间扩展法。结果提供了证据，证明房屋属性价格确实随地理环境而变化，并表明通过使用这些技术可以实现更可靠的参数估计和更好的房屋价格估计准确性。第二篇论文是在第一篇论文的基础上，研究了住房市场空间结构的更多现实概念如何影响对特定于地理位置的外部性的享乐主义价格估计。实证分析考察了两个关键的空间效应，即空间依赖性和空间异质性，如何影响亚利桑那州图森市内靠近里利托河的边际价格估计。发现这两种空间效应都会影响最终的估计，但是空间异质性具有更大的实际重要性，因为价格估计会随地理环境而变化很大。这项研究强调了在享乐外部性评估中考虑两种空间效应的重要性。最后一篇文章探讨了住房价格如何影响区域间的迁徙模式，更具体地说，它们的影响如何随着生活历程和受教育程度的变化而变化。该研究对1995年至2000年期间美国大都市人口的迁移进行了模型化。结果表明，房价在推动区域人口变化方面起着重要作用，因为房价的影响会随两种人口特征的变化而变化。高房价阻碍了个人在20年代末和30年代初，但他们的影响力在中年时期逐渐减弱。随着个人即将退休，房价变得越来越重要。结果还提供了证据，表明大学毕业生比受教育程度较低的人对房价差异的反应更大。

著录项

  • 作者

    Bitter, J. Christopher.;

  • 作者单位

    The University of Arizona.$bGeography.;

  • 授予单位 The University of Arizona.$bGeography.;
  • 学科 Geography.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

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