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Lending patterns in poor neighborhoods

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  • Richter, Francisca G.-C.
  • Craig, Ben R.

Abstract

Concentrated poverty has been said to impose a double burden on those that confront it. In addition to an individual's own financial constraints, institutions and social networks of poor neighborhoods can further limit access to quality services and resources for those that live there. This study contributes to the characterization of subprime lending in poor neighborhoods by including a spatial dimension to the analysis, in an attempt to capture social – endogenous and exogenous interaction – effects differences in poor and less poor neighborhoods. The analysis is applied to 2004–2006 census tract level data in Cuyahoga County, home to Cleveland, OH, a region that features urban neighborhoods highly segregated by income and race. The patterns found in poor neighborhoods suggest stronger social effects inducing subprime lending in comparison to less poor neighborhoods.

Suggested Citation

  • Richter, Francisca G.-C. & Craig, Ben R., 2013. "Lending patterns in poor neighborhoods," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 197-206.
    • Handle: RePEc:eee:jeborg:v:95:y:2013:i:c:p:197-206
    DOI: 10.1016/j.jebo.2013.03.005
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    Cited by:

    1. Boyce, James K. & Zwickl, Klara & Ash, Michael, 2016. "Measuring environmental inequality," Ecological Economics, Elsevier, vol. 124(C), pages 114-123.

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    More about this item

    Keywords

    Subprime lending; Spatial panel; Aggregate data;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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