Extending Research on Neighborhoods and Crime: An Examination of Mortgage Fraud across Chicago Census Tracts
Autor: | Ashley N. Arnio, Eric P. Baumer, J. W. Andrew Ranson |
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Rok vydání: | 2018 |
Předmět: |
Concentrated Disadvantage
media_common.quotation_subject 05 social sciences Immigration Census humanities Spatial regression model Pathology and Forensic Medicine Disadvantaged ComputingMethodologies_PATTERNRECOGNITION Loan 050501 criminology population characteristics 0501 psychology and cognitive sciences Demographic economics Business Subprime lending Law health care economics and organizations Social control 050104 developmental & child psychology 0505 law media_common |
Zdroj: | Journal of Quantitative Criminology. 35:465-491 |
ISSN: | 1573-7799 0748-4518 |
DOI: | 10.1007/s10940-018-9392-y |
Popis: | The purpose of this study is to extend research on communities and crime by assessing neighborhood variation in mortgage fraud. We use proprietary data to generate a measure of mortgage fraud for 2005 through 2008 for 793 census tracts in Chicago. We estimate maximum likelihood spatial regression models to assess the impact of tract-level structural variables and lending market characteristics on mortgage fraud. We find that concentrated disadvantage, percent black, and immigrant concentration are associated with greater levels of mortgage fraud. However, the impact of these factors is largely mediated by subprime lending. In addition, we find mortgages purchased by private entities also lead to greater levels of mortgage fraud. Contrary to expectations, changing loan values are unrelated to mortgage fraud. The findings suggest the relationship between neighborhood structural characteristics and mortgage fraud is partially due to a lack of public social control in disadvantaged minority neighborhoods. Future research should build on this study and examine a wider variety of crimes than are traditionally studied at the neighborhood level. |
Databáze: | OpenAIRE |
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