Spillover effects in home mortgage defaults: Identifying the power neighbor

B-Tier
Journal: Regional Science and Urban Economics
Year: 2018
Volume: 73
Issue: C
Pages: 68-82

Authors (3)

Chomsisengphet, Souphala (not in RePEc) Kiefer, Hua (not in RePEc) Liu, Xiaodong (University of Colorado)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper investigates spillover effects of mortgage defaults in the neighborhood on a homeowner's default decision. Following the interactions-based model of discrete choices in Lee et al. (2014), we explicitly model a homeowner's default decision as a function of predetermined risk factors as well as rational expectations on her neighbors' default decisions and find strong empirical evidence of spillover effects — in forms of time-lagged “contagion effects” and contemporaneous “multiplier effects”. Furthermore, the estimated model can be used to identify the “power neighbor” through whom a foreclosure prevention policy can generate the largest impact on a neighborhood. Compared to other homeowners, the “power neighbor” on average has less neighbors that defaulted in the past, a less risky loan, a smaller payment size, a higher credit score, and a more central location in the neighborhood.

Technical Details

RePEc Handle
repec:eee:regeco:v:73:y:2018:i:c:p:68-82
Journal Field
Urban
Author Count
3
Added to Database
2026-01-25