IDEAS home Printed from https://ideas.repec.org/p/fip/fedcwp/0811.html
   My bibliography  Save this paper

An analysis of foreclosure rate differentials in soft markets

Author

Listed:
  • Francisca Richter

Abstract

A quantile regression model is used to identify the main neighborhood characteristics associated with high foreclosure rates in weak market neighborhoods, specifically for two counties in Ohio and one in Pennsylvania. A decomposition technique by Machado and Mata (2005) allows separating foreclosure filing rate differentials across counties into two components: the first due to differences in the levels of neighborhood characteristics and the second due to differences in the model parameters. At higher than median rates, foreclosure rate differentials between counties in Ohio are mainly explained by the levels of these characteristics. However, foreclosure rate differences between counties across states are mainly explained by the parameter component, suggesting that state level effects might have contributed to shape foreclosure rate outcomes.

Suggested Citation

  • Francisca Richter, 2008. "An analysis of foreclosure rate differentials in soft markets," Working Papers (Old Series) 0811, Federal Reserve Bank of Cleveland.
    • Handle: RePEc:fip:fedcwp:0811
    DOI: 10.26509/frbc-wp-200811
    as

    Download full text from publisher

    File URL: https://doi.org/10.26509/frbc-wp-200811
    File Function: Persistent link
    Download Restriction: no
    File URL: https://www.clevelandfed.org/-/media/project/clevelandfedtenant/clevelandfedsite/publications/working-papers/2008/wp-0811-an-analysis-of-foreclosure-rate-differentials-in-soft-markets-pdf.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.26509/frbc-wp-200811?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Atif Mian & Amir Sufi, 2008. "The Consequences of Mortgage Credit Expansion: Evidence from the 2007 Mortgage Default Crisis," NBER Working Papers 13936, National Bureau of Economic Research, Inc.
    2. Christopher J. Mayer & Karen Pence, 2008. "Subprime Mortgages: What, Where, and to Whom?," NBER Working Papers 14083, National Bureau of Economic Research, Inc.
    3. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    4. Bostic, Raphael W. & Engel, Kathleen C. & McCoy, Patricia A. & Pennington-Cross, Anthony & Wachter, Susan M., 2008. "State and local anti-predatory lending laws: The effect of legal enforcement mechanisms," Journal of Economics and Business, Elsevier, vol. 60(1-2), pages 47-66.
    5. Morris M. Kleiner & Richard M. Todd, 2009. "Mortgage Broker Regulations That Matter: Analyzing Earnings, Employment, and Outcomes for Consumers," NBER Chapters, in: Studies of Labor Market Intermediation, pages 183-231, National Bureau of Economic Research, Inc.
    6. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    7. Morris M. Kleiner & Richard M. Todd, 2007. "Mortgage Broker Regulations That Matter: Analyzing Earnings, Employment, and Outcomes for Consumers," NBER Working Papers 13684, National Bureau of Economic Research, Inc.
    8. Grover, Michael & Smith, Laura & Todd, Richard M., 2008. "Targeting foreclosure interventions: An analysis of neighborhood characteristics associated with high foreclosure rates in two Minnesota counties," Journal of Economics and Business, Elsevier, vol. 60(1-2), pages 91-109.
    9. Giang Ho & Anthony Pennington-Cross, 2005. "The impact of local predatory lending laws," Working Papers 2005-049, Federal Reserve Bank of St. Louis.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Blackburn, McKinley L. & Vermilyea, Todd, 2012. "The prevalence and impact of misstated incomes on mortgage loan applications," Journal of Housing Economics, Elsevier, vol. 21(2), pages 151-168.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juan Manuel del Pozo Segura, 2017. "Has the Gender Wage Gap been Reduced during the 'Peruvian Growth Miracle?' A Distributional Approach," Documentos de Trabajo / Working Papers 2017-442, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Jevgenijs Steinbuks & Gregory Elliehausen, 2014. "The Economic Effects of Legal Restrictions on High-Cost Mortgages," The Journal of Real Estate Finance and Economics, Springer, vol. 49(1), pages 47-72, July.
    3. Costa-Font, Joan & Fabbri, Daniele & Gil, Joan, 2009. "Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis," Economics & Human Biology, Elsevier, vol. 7(3), pages 351-365, December.
    4. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    5. Juan D. Barón & Deborah A. Cobb‐Clark, 2010. "Occupational Segregation and the Gender Wage Gap in Private‐ and Public‐Sector Employment: A Distributional Analysis," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 227-246, June.
    6. Kaya, Ezgi, 2019. "Gender wage gap across the quantiles:What is the role of firm segregation?," Cardiff Economics Working Papers E2019/7, Cardiff University, Cardiff Business School, Economics Section.
    7. Christopher Foote & Kristopher Gerardi & Lorenz Goette & Paul Willen, 2010. "Reducing Foreclosures: No Easy Answers," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 89-138, National Bureau of Economic Research, Inc.
    8. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    9. Sarah Voitchovsky & Bertrand Maitre & Brian Nolan, 2012. "Wage Inequality in Ireland’s “Celtic Tiger” Boom," The Economic and Social Review, Economic and Social Studies, vol. 43(1), pages 99-133.
    10. Fesselmeyer, Eric & Le, Kien T. & Seah, Kiat Ying, 2013. "Changes in the white–black house value distribution gap from 1997 to 2005," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 132-141.
    11. repec:zbw:bofrdp:2009_035 is not listed on IDEAS
    12. Christopher Mayer & Karen Pence & Shane M. Sherlund, 2009. "The Rise in Mortgage Defaults," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 27-50, Winter.
    13. Demyanyk, Yuliya & Hasan, Iftekhar, 2009. "Financial crises and bank failures: a review of prediction methods," Bank of Finland Research Discussion Papers 35/2009, Bank of Finland.
    14. Helmut Hofer & Gerlinde Titelbach & Rudolf Winter-Ebmer & Alexander Ahammer, 2017. "Wage Discrimination Against Immigrants in Austria?," LABOUR, CEIS, vol. 31(2), pages 105-126, June.
    15. Haining Wang & Fei Guo & Zhiming Cheng, 2015. "A distributional analysis of wage discrimination against migrant workers in China’s urban labour market," Urban Studies, Urban Studies Journal Limited, vol. 52(13), pages 2383-2403, October.
    16. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
    17. Jean-Louis Arcand & Béatrice D'hombres, 2004. "Racial discrimination in the Brazilian labour market: wage, employment and segregation effects," Journal of International Development, John Wiley & Sons, Ltd., vol. 16(8), pages 1053-1066.
    18. Francisca Lívia S. Menezes & Ronaldo A. Arraes & Andrei G. Simonass, 2014. "Earning Differentials By Occupational Categories And Discrimination: Gender, Race And Regions," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 214, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    19. Thanh P. Bui & Katsushi S. Imai, 2019. "Determinants of Rural-Urban Inequality in Vietnam: Detailed Decomposition Analyses Based on Unconditional Quantile Regressions," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2610-2625, December.
    20. Khandani, Amir E. & Lo, Andrew W. & Merton, Robert C., 2013. "Systemic risk and the refinancing ratchet effect," Journal of Financial Economics, Elsevier, vol. 108(1), pages 29-45.
    21. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.

    More about this item

    Keywords

    Foreclosure; Federal Reserve District; 4th; Economic conditions - Ohio; Economic conditions - Pennsylvania;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedcwp:0811. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: 4D Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbclus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.