Economists commonly estimate the value of characteristics not traded in explicit markets by hedonic pricing. Unfortunately, these nonexplicitly traded characteristics often display a lack of independent variation or multicollinearity. Often some prior information on the value of these characteristics is available from submarkets. This paper utilizes this type of prior information to circumvent multicollinearity problems in hedonic pricing models using an inequality restricted Bayesian estimator. The authors perform a Monte Carlo experiment and cross-validation analysis to demonstrate the superiority of inequality restricted Bayesian over ordinary least squares at many margins in a variety of situations typically faced in hedonic estimation.

This paper provides empirical evidence that a strong statutory right of redemption leads to a statistically significant and an economically large impact in reducing bankruptcy filings. Under the statutory right of redemption, borrowers can repurchase the property after the foreclosure auction at a certain price. Implementations of the statutory right of redemption, however, vary substantially among states. When categorizing the redemption rights from an economic perspective, we find that a strong redemption right leads to a greater than 30% decrease in the odds that a borrower with a defaulted mortgage will file for bankruptcy.

Using monthly loan-level data, individual partial prepayments (curtailments) from January 2001 to June 2011 are observed for mortgages in twenty metropolitan statistical areas. Contrary to some earlier assertions, American homeowners now frequently commit funds towards their mortgage payments in excess of the amount due; over 30% of loans outstanding have made at least one curtailment payment. After controlling for borrower and loan-level variables, we show that the latent propensity to curtail has steadily risen from 2003 to 2006 and remains at elevated levels. Therefore, curtailment provides an example of consumer deleveraging behavior that began prior to the Great Recession.