[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/cbo/wpaper/50871.html
   My bibliography  Save this paper

Do Large-Scale Refinancing Programs Reduce Mortgage Defaults? Evidence From a Regression Discontinuity Design: Working Paper 2015-06

Author

Listed:
  • Gabriel Ehrlich
  • Jeffrey Perry
Abstract
In 2012, the Federal Housing Administration (FHA) reduced fees to refinance FHA-insured mortgages obtained before---but not after---a retroactive deadline. We use a natural experiment to study how reduced mortgage payments affect default rates. Using a regression discontinuity design, we find that reducing payment size by 1 percent lowers conditional default rates by 2.75 percent. Evidence suggests that those effects are larger for borrowers with negative equity and lower credit scores. We estimate that the policy will prevent more than 35,000 defaults of FHA-insured

Suggested Citation

  • Gabriel Ehrlich & Jeffrey Perry, 2015. "Do Large-Scale Refinancing Programs Reduce Mortgage Defaults? Evidence From a Regression Discontinuity Design: Working Paper 2015-06," Working Papers 50871, Congressional Budget Office.
    • Handle: RePEc:cbo:wpaper:50871
    as

    Download full text from publisher

    File URL: https://www.cbo.gov/sites/default/files/114th-congress-2015-2016/workingpaper/50871-FHA.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    2. Francesca Castelli & Damien Moore & Gabriel Ehrlich & Jeffrey Perry, 2014. "Modeling the Budgetary Costs of FHA's Single Family Mortgage Insurance: Working Paper 2014-05," Working Papers 45711, Congressional Budget Office.
    3. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    4. Marinho Bertanha & Guido W. Imbens, 2020. "External Validity in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 593-612, July.
    5. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    6. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    7. Adelino, Manuel & Gerardi, Kristopher & Willen, Paul S., 2013. "Why don't Lenders renegotiate more home mortgages? Redefaults, self-cures and securitization," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 835-853.
    8. 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.
    9. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    10. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    11. Deborah Lucas & Damien Moore & Mitchell Remy, 2011. "An Evaluation of Large-Scale Mortgage Refinancing Programs: Working Paper 2011-04," Working Papers 42752, Congressional Budget Office.
    12. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    13. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    14. Agarwal, Sumit & Amromin, Gene & Ben-David, Itzhak & Chomsisengphet, Souphala & Evanoff, Douglas D., 2010. "Market-Based Loss Mitigation Practices for Troubled Mortgages Following the Financial Crisis," Working Paper Series 2010-19, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    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. Therese C. Scharlemann & Stephen H. Shore, 2022. "The effect of changing mortgage payments on default and prepayment: Evidence from HAMP resets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(5), pages 1231-1256, September.
    2. Anthony A. Defusco & John Mondragon, 2020. "No Job, No Money, No Refi: Frictions to Refinancing in a Recession," Journal of Finance, American Finance Association, vol. 75(5), pages 2327-2376, October.
    3. Joshua Abel & Andreas Fuster, 2021. "How Do Mortgage Refinances Affect Debt, Default, and Spending? Evidence from HARP," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 254-291, April.
    4. Kadiri Karamon & Douglas McManus & Jun Zhu, 2017. "Refinance and Mortgage Default: A Regression Discontinuity Analysis of HARP’s Impact on Default Rates," The Journal of Real Estate Finance and Economics, Springer, vol. 55(4), pages 457-475, November.
    5. Gene Amromin & Jane Dokko & Karen E. Dynan, 2020. "Helping Homeowners During the Covid-19 Pandemic: Lessons from the Great Recession," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 443, pages 1-9, June.

    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. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    2. Cuong Viet Nguyen & Finn Tarp, 2023. "Cash Transfers and Labor Supply: New Evidence on Impacts and Mechanisms," DERG working paper series 23-18, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
    3. Dang, Hai-Anh H. & Hiraga, Masako & Viet Nguyen, Cuong, 2022. "Childcare and maternal employment: Evidence from Vietnam," World Development, Elsevier, vol. 159(C).
    4. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    5. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    6. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    7. Geneletti, Sara & Baio, Gianluca & O'Keeffe, Aidan & Ricciardi, Federico, 2019. "Bayesian modelling for binary outcomes in the regression discontinuity design," LSE Research Online Documents on Economics 100096, London School of Economics and Political Science, LSE Library.
    8. Vergolini, Loris & Zanini, Nadir, 2015. "Away, but not too far from home. The effects of financial aid on university enrolment decisions," Economics of Education Review, Elsevier, vol. 49(C), pages 91-109.
    9. Quaresima Federico & Santolini Raffaella & Fiorillo Fabio, 2020. "Political affiliation in post-parliamentary careers in Italian public enterprises," German Economic Review, De Gruyter, vol. 21(1), pages 35-64, April.
    10. Prakash, Nishith & Rockmore, Marc & Uppal, Yogesh, 2019. "Do criminally accused politicians affect economic outcomes? Evidence from India," Journal of Development Economics, Elsevier, vol. 141(C).
    11. Ari Hyytinen & Jaakko Meriläinen & Tuukka Saarimaa & Otto Toivanen & Janne Tukiainen, 2018. "When does regression discontinuity design work? Evidence from random election outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 1019-1051, July.
    12. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    13. Aditi Singhal, 2016. "Strength of Partisan and Candidate Ties in India," Working Papers id:11504, eSocialSciences.
    14. Decio Coviello & Andrea Guglielmo & Giancarlo Spagnolo, 2015. "The Effect of Discretion on Procurement Performance," CEIS Research Paper 361, Tor Vergata University, CEIS, revised 17 Nov 2015.
    15. Kettlewell, Nathan & Siminski, Peter, 2020. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," IZA Discussion Papers 13639, Institute of Labor Economics (IZA).
    16. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    17. Jerch, Rhiannon & Kahn, Matthew E. & Li, Shanjun, 2017. "The efficiency of local government: The role of privatization and public sector unions," Journal of Public Economics, Elsevier, vol. 154(C), pages 95-121.
    18. Steven F. Koch & Jeffrey S. Racine, 2016. "Healthcare facility choice and user fee abolition: regression discontinuity in a multinomial choice setting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 927-950, October.
    19. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    20. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.

    More about this item

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General

    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:cbo:wpaper:50871. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbogvus.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.