Refinance and Mortgage Default: A Regression Discontinuity Analysis of Harp's Impact on Default Rates

Posted: 27 Nov 2017 Last revised: 18 Mar 2018

See all articles by Kadiri Karamon

Kadiri Karamon

Federal Home Loan Mortgage Corporation (FHLMC)

Douglas A. McManus

Retired

Jun Zhu

The Urban Institute

Multiple version iconThere are 2 versions of this paper

Date Written: November 20, 2017

Abstract

This paper examines the impact of refinancing on mortgage defaults based on an empirical investigation of the Home Affordable Refinance Program (HARP). We study a unique dataset from Freddie Mac which includes loans funded right before and after the HARP eligibility cutoff date, an exogenous event. Using a Fuzzy Regression Discontinuity Design method, we show that receiving a HARP refinance materially decreases the expected monthly default rate by about 48-62 percent using different bandwidth specifications.

Keywords: HARP; Refinance; Mortgage default; Fuzzy RDD

JEL Classification: E65; G21; G28; R28

Suggested Citation

Karamon, Kadiri and McManus, Douglas A. and Zhu, Jun, Refinance and Mortgage Default: A Regression Discontinuity Analysis of Harp's Impact on Default Rates (November 20, 2017). Journal of Real Estate Finance and Economics, Vol. 55, No. 4, 2017, Available at SSRN: https://ssrn.com/abstract=3074635

Kadiri Karamon

Federal Home Loan Mortgage Corporation (FHLMC) ( email )

8200 Jones Branch Road
McLean, VA 22101
United States

Jun Zhu (Contact Author)

The Urban Institute ( email )

2100 M Street, NW
Washington, DC 20037
United States

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