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The heterogeneous spatial impact of foreclosures on nearby property values

Author

Listed:
  • Xian F. Bak

    (Freddie Mac)

  • Geoffrey J. D. Hewings

    (University of Illinois)

Abstract

Foreclosures have negative impacts not just on homeowners, but also on neighboring properties. Due to the heterogeneous characteristics of the housing market, different neighborhoods can be impacted differently by foreclosures. This study focuses on the varying impacts of foreclosures on nearby property values across space. These results can provide insightful directions for decision makers to identify places in greatest need. A semi-parametric approach is applied to allow estimates varying over space. In Chicago, property values most impacted by foreclosures are in the south where the vacancy rate and crime occurrences are high and incomes are low. The spatial variation in impacts is wider for homes priced at the 10th quantile than at the 90th quantile. Moreover, the impacts are generally larger for home prices at the 10th quantile than at the 90th quantile, but the differences are not uniform across space.

Suggested Citation

  • Xian F. Bak & Geoffrey J. D. Hewings, 2019. "The heterogeneous spatial impact of foreclosures on nearby property values," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 439-466, June.
    • Handle: RePEc:spr:anresc:v:62:y:2019:i:3:d:10.1007_s00168-019-00903-4
    DOI: 10.1007/s00168-019-00903-4
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    References listed on IDEAS

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    1. Zhang, Lei & Leonard, Tammy, 2014. "Neighborhood impact of foreclosure: A quantile regression approach," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 133-143.
    2. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    3. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    4. Bak, Xian F. & Hewings, Geoffrey J.D., 2017. "Measuring foreclosure impact mitigation: Evidence from the Neighborhood Stabilization Program in Chicago," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 38-56.
    5. Zhenguo Lin & Eric Rosenblatt & Vincent Yao, 2009. "Spillover Effects of Foreclosures on Neighborhood Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 387-407, May.
    6. Elliot Anenberg & Edward Kung, 2014. "Estimates of the Size and Source of Price Declines Due to Nearby Foreclosures," American Economic Review, American Economic Association, vol. 104(8), pages 2527-2551, August.
    7. Ellen, Ingrid Gould & Lacoe, Johanna & Sharygin, Claudia Ayanna, 2013. "Do foreclosures cause crime?," Journal of Urban Economics, Elsevier, vol. 74(C), pages 59-70.
    8. N. Edward Coulson & Jeffrey E. Zabel, 2013. "What Can We Learn from Hedonic Models When Housing Markets Are Dominated by Foreclosures?," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 261-279, June.
    9. Walls, Margaret & Gerarden, Todd & Palmer, Karen & Bak, Xian Fang, 2017. "Is energy efficiency capitalized into home prices? Evidence from three U.S. cities," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 104-124.
    10. Hartley, Daniel, 2014. "The effect of foreclosures on nearby housing prices: Supply or dis-amenity?," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 108-117.
    11. Coro Chasco & Julie Le Gallo, 2015. "Heterogeneity in Perceptions of Noise and Air Pollution: A Spatial Quantile Approach on the City of Madrid," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 317-343, September.
    12. Gerardi, Kristopher & Rosenblatt, Eric & Willen, Paul S. & Yao, Vincent, 2015. "Foreclosure externalities: New evidence," Journal of Urban Economics, Elsevier, vol. 87(C), pages 42-56.
    13. Daniel McMillen & Maria Edisa Soppelsa, 2015. "A Conditionally Parametric Probit Model Of Microdata Land Use In Chicago," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 391-415, June.
    14. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    15. William H. Rogers & William Winter, 2009. "The Impact of Foreclosures on Neighboring Housing Sales," Journal of Real Estate Research, American Real Estate Society, vol. 31(4), pages 455-480.
    16. Dan-Lin Yu, 2006. "Spatially varying development mechanisms in the Greater Beijing Area: a geographically weighted regression investigation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(1), pages 173-190, March.
    17. W. Scott Frame, 2010. "Estimating the effect of mortgage foreclosures on nearby property values: a critical review of the literature," Economic Review, Federal Reserve Bank of Atlanta, vol. 95(3).
    18. Dan Immergluck & Geoff Smith, 2006. "The external costs of foreclosure: The impact of single‐family mortgage foreclosures on property values," Housing Policy Debate, Taylor & Francis Journals, vol. 17(1), pages 57-79.
    19. Schuetz, Jenny & Been, Vicki & Ellen, Ingrid Gould, 2008. "Neighborhood effects of concentrated mortgage foreclosures," Journal of Housing Economics, Elsevier, vol. 17(4), pages 306-319, December.
    20. Harding, John P. & Rosenblatt, Eric & Yao, Vincent W., 2009. "The contagion effect of foreclosed properties," Journal of Urban Economics, Elsevier, vol. 66(3), pages 164-178, November.
    21. Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2010. "Which hedonic models can we trust to recover the marginal willingness to pay for environmental amenities?," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 145-160, November.
    22. Harding, John P. & Rosenblatt, Eric & Yao, Vincent W., 2012. "The foreclosure discount: Myth or reality?," Journal of Urban Economics, Elsevier, vol. 71(2), pages 204-218.
    23. John Y. Campbell & Stefano Giglio & Parag Pathak, 2011. "Forced Sales and House Prices," American Economic Review, American Economic Association, vol. 101(5), pages 2108-2131, August.
    24. Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
    25. A. Fotheringham & Ricardo Crespo & Jing Yao, 2015. "Exploring, modelling and predicting spatiotemporal variations in house prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 417-436, March.
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    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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