RESIDENTIAL SEGREGATION/NEIGHBORHOOD HOUSE APPRECIATION

住宅隔离/邻里房屋升值

• 批准号: 6191501
• 负责人: Nancy A Denton
• 金额: $ 7.1万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT ALBANY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2002-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6191501
• 关键词: African American; behavioral /social science research tag; caucasian American; community; geographic site; housing; information systems; mathematical model; model design /development; racial /ethnic difference; residential mobility; social integration; socioeconomics

DESCRIPTION (Adapted from the applicant's description): The proposed research will examine in detail the African American-white differential in housing values and change in housing values over time at the neighborhood level. To the extent that race influences neighborhood housing value levels and neighborhood housing appreciation, the estimated wealth loss can be seen as yet another deleterious consequence of residential segregation. The first part of the project will consist of the geographic information system (GIS) to document neighborhood level black-white median housing value differentials and change in median housing values over time in selected MSAs. Exploratory spatial data analysis (ESDA) will be used to identify spatial clusters and spatial outliers in housing values and to identify the areal covariates of housing values. The second part of the research project will develop multilevel models to explain the neighborhood level differentials found in the descriptive analysis. By limiting the scope of the research to the neighborhood level, to a small number of metropolitan areas and to only two racial groups, the proposed research gains flexibility to explore in a detailed, context specific way, the spatial patterns and mechanisms which determine neighborhood housing value levels and changes.

描述（根据申请人的描述改编）：拟议的研究 将详细检查住房中的非裔美国人白人差异 随着时间的推移，住房价值的价值和变化。到 种族影响社区住房价值水平和 邻里住房赞赏，估计的财富损失可以看作 住宅隔离的另一个有害后果。第一部分 该项目将包括地理信息系统（GIS） 记录邻里级别的黑白中位住房价值差异和 选定的MSA中中位外壳值随时间的变化。探索性 空间数据分析（ESDA）将用于识别空间簇和 住房价值中的空间异常值，并确定面积的协变量 住房价值。研究项目的第二部分将开发 多级模型来解释在 描述性分析。通过将研究范围限制为 邻里水平，到少数大都市地区，只有两个 种族群体，拟议的研究获得了灵活性来探索 详细的，上下文特定的方式，空间模式和机制 确定邻里住房价值水平和变化。