Estimating Loan-to-Value Distributions

被引:16
|
作者
Korteweg, Arthur [1 ]
Sorensen, Morten [2 ,3 ,4 ,5 ]
机构
[1] Univ So Calif, Marshall Sch Business Los Angeles, Los Angeles, CA 90089 USA
[2] Columbia Business Sch, New York, NY 10027 USA
[3] Copenhagen Business Sch, Frederiksberg, Denmark
[4] NBER, Cambridge, MA 02138 USA
[5] SIFR, Singapore, Singapore
关键词
SAMPLE-SELECTION BIAS; HOUSE PRICE INDEXES; VALUATION; TRANSACTION; PREPAYMENT;
D O I
10.1111/1540-6229.12086
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页码:41 / 86
页数:46
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