IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

How Do Regulators Influence Mortgage Risk: Evidence from an Emerging Market

  • Campbell, John Y.
  • Ramadorai, Tarun
  • Ranish, Benjamin Michael

To understand the effects of regulation on mortgage risk, it is instructive to track the history of regulatory changes in a country rather than to rely entirely on cross- country evidence that can be contaminated by unobserved heterogeneity. However, in developed countries with fairly stable systems of financial regulation, it is difficult to track these effects. We employ loan-level data on over a million loans disbursed in India over the 1995 to 2010 period to understand how fast-changing regulation impacted mortgage lending and risk. We use cross-sectional differences in the time- series variation of delinquency rates, conditional on initial interest rates, to detect the effects of regulation on mortgage delinquencies.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

File URL:
Download Restriction: no

File URL:
Download Restriction: no

Paper provided by Harvard University Department of Economics in its series Scholarly Articles with number 12168178.

in new window

Date of creation: 2012
Date of revision:
Publication status: Published in NBER Working Paper Series
Handle: RePEc:hrv:faseco:12168178
Contact details of provider: Postal: Littauer Center, Cambridge, MA 02138
Phone: 617-495-2144
Fax: 617-495-7730
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Timothy Besley & Robin Burgess, 1998. "Land Reform, Poverty Reduction and Growth: Evidence from India," STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers 13, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  2. Shawn A. Cole, 2008. "Fixing Market Failures or Fixing Elections? Agricultural Credit in India," Harvard Business School Working Papers 09-001, Harvard Business School.
  3. Neil Bhutta & Jane Dokko & Hui Shan, 2010. "The depth of negative equity and mortgage default decisions," Finance and Economics Discussion Series 2010-35, Board of Governors of the Federal Reserve System (U.S.).
  4. Santosh Anagol & Hugh Hoikwang Kim, 2012. "The Impact of Shrouded Fees: Evidence from a Natural Experiment in the Indian Mutual Funds Market," American Economic Review, American Economic Association, vol. 102(1), pages 576-93, February.
  5. Esther Duflo & Abhijit Banerjee & Shawn Cole & Leigh Linden, 2006. "Remedying Education: Evidence from Two Randomised Experiments in India," Working Papers id:360, eSocialSciences.
  6. Agarwal, Sumit & Amromin, Gene & Ben-David, Itzhak & Chomsisengphet, Souphala & Evanoff, Douglas D., 2011. "The Role of Securitization in Mortgage Renegotiation," Working Paper Series 2011-2, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  7. Kathleen W. Johnson & Geng Li, 2014. "Are Adjustable-Rate Mortgage Borrowers Borrowing Constrained?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(2), pages 457-471, 06.
  8. Christopher Foote & Kristopher Gerardi & Lorenz Goette & Paul S. Willen, 2009. "Reducing foreclosures: no easy answers," FRB Atlanta Working Paper No. 2009-15, Federal Reserve Bank of Atlanta.
  9. Campbell, John Y., 2012. "Mortgage Market Design," Scholarly Articles 9887618, Harvard University Department of Economics.
  10. Duca, John V & Rosenthal, Stuart S, 1994. "Do Mortgage Rates Vary Based on Household Default Characteristics? Evidence on Rate Sorting and Credit Rationing," The Journal of Real Estate Finance and Economics, Springer, vol. 8(2), pages 99-113, March.
  11. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, MIT Press, vol. 124(4), pages 1449-1496, November.
  12. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 307-362, February.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hrv:faseco:12168178. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ben Steinberg)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.