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Estimating Loan-to-value Distributions

Publication: Research - peer-reviewJournal article

DOI

We estimate a model of house prices, combined loan-to-value ratios (CLTVs) and trade and foreclosure behavior. House prices are only observed for traded properties and trades are endogenous, creating sample-selection problems for existing approaches to estimating CLTVs. We use a Bayesian filtering procedure to recover the price path for individual properties and produce selection-corrected estimates of historical CLTV distributions. Estimating our model with transactions of residential properties in Alameda, California, we find that 35% of single-family homes are underwater, compared to 19% estimated by existing approaches. Our results reduce the index revision problem and have applications for pricing mortgage-backed securities.

Publication information

Original languageEnglish
JournalReal Estate Economics
Volume44
Issue number1
Pages (from-to)41-86
ISSN1080-8620
DOIs
StatePublished - 2016

ID: 44427173