There are two prevailing theories of borrower default: strategic default—when debt is too high relative to the value of the house—and adverse life events—such that the monthly payment is too high relative to available resources. It has been challenging to test between these theories in part because adverse events are measured with error, possibly leading to attenuation bias. We develop a new method for addressing this measurement error using a comparison group of borrowers with no strategic default motive: borrowers with positive home equity. We implement the method using high-frequency administrative data linking income and mortgage default. Our central finding is that only 3 percent of defaults are caused exclusively by negative equity, much less than previously thought; in other words, adverse events are a necessary condition for 97 percent of mortgage defaults. Although this finding contrasts sharply with predictions from standard models, we show that it can be rationalized in models with a high private cost of mortgage default.

More on this topic

BFI Working Paper·Jun 15, 2026

Don’t Give Up on Lab Experiments: Why the Field Still Needs the Lab

John List
Topics: Uncategorized
BFI Working Paper·May 5, 2026

Retrospective Versus Prospective Meritocracy

Steven Durlauf
Topics: Uncategorized
BFI Working Paper·Mar 17, 2026

Quantum Bayesian Inference: An Exploration

Jon Frost, Carlos Madeira, Yash Rastogi, and Harald Uhlig
Topics: Uncategorized