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Exploring the Spatial Heterogeneity of the Impact of Foreclosures on House Prices in Cook County.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Exploring the Spatial Heterogeneity of the Impact of Foreclosures on House Prices in Cook County./
作者:	Ginos, John.
面頁冊數:	1 online resource (77 pages)
附註:	Source: Masters Abstracts International, Volume: 84-03.
Contained By:	Masters Abstracts International84-03.
標題:	Statistics. -
電子資源:	click for full text (PQDT)
ISBN:	9798841765349

Exploring the Spatial Heterogeneity of the Impact of Foreclosures on House Prices in Cook County.
Ginos, John.

Exploring the Spatial Heterogeneity of the Impact of Foreclosures on House Prices in Cook County. - 1 online resource (77 pages)

Source: Masters Abstracts International, Volume: 84-03.

Thesis (M.S.)--Western Illinois University, 2023.

Includes bibliographical references

The impact of foreclosures on neighboring house prices is of great concern to homeowners, assessors, policy makers and investors. Understanding the spatial heterogeneity and scale of the foreclosure discount illuminates how some areas may be affected disproportionately compared to others even in relatively close spatial proximity. In this analysis the spatial heterogeneity of the foreclosure discount among the census tracts of Cook County is considered. Using Multiscale Geographically Weighted Regression (MGWR) the foreclosure discount and the nonlinearity of the foreclosure discount are explored. The foreclosure discount is found to be spatially stationary while the nonlinearity (quadratic) foreclosure effect is found to be nonstationary. The discount ranges from about -0.68% to -0.58% for an additional foreclosure in a census tract depending on the period prior to transactions foreclosures are aggregated over. MGWR outperforms ordinary least squares and other geographically weighted models in fitting the data based on the sum of squared residuals. It is shown that spatial autocorrelation is relatively weaker in the residuals of MGWR when compared to the spatial autocorrelation in the residuals of spatially autoregressive geographically weighted models.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798841765349Subjects--Topical Terms:

556824
Statistics.
Subjects--Index Terms:

ForeclosuresIndex Terms--Genre/Form:

554714
Electronic books.

Exploring the Spatial Heterogeneity of the Impact of Foreclosures on House Prices in Cook County.
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504 $a Includes bibliographical references
520 $a The impact of foreclosures on neighboring house prices is of great concern to homeowners, assessors, policy makers and investors. Understanding the spatial heterogeneity and scale of the foreclosure discount illuminates how some areas may be affected disproportionately compared to others even in relatively close spatial proximity. In this analysis the spatial heterogeneity of the foreclosure discount among the census tracts of Cook County is considered. Using Multiscale Geographically Weighted Regression (MGWR) the foreclosure discount and the nonlinearity of the foreclosure discount are explored. The foreclosure discount is found to be spatially stationary while the nonlinearity (quadratic) foreclosure effect is found to be nonstationary. The discount ranges from about -0.68% to -0.58% for an additional foreclosure in a census tract depending on the period prior to transactions foreclosures are aggregated over. MGWR outperforms ordinary least squares and other geographically weighted models in fitting the data based on the sum of squared residuals. It is shown that spatial autocorrelation is relatively weaker in the residuals of MGWR when compared to the spatial autocorrelation in the residuals of spatially autoregressive geographically weighted models.
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653 $a House prices
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