Lenders are frequently accused of mispricing the put option embedded in nonrecourse lending. Prior research shows one lender's incentives to underprice. Here, we identify the conditions for a marketwide underpricing equilibrium. We demonstrate that, in a market with many players, given...

This paper presents a method for estimating home values by non-parametrically incorporating the physical location of the properties. Specifically, I allow the parameters of the observed covariates to vary in space. This approach mitigates one of the biggest deficiencies inherent in hedonic...

This article investigates the impact of spatially correlated unobservable variables on the refinancing, selling and default decisions of mortgage borrowers. Virtually the entire mortgage literature acknowledges that borrower-specific characteristics, such as culture, education or access to...

We propose a theory of urban decay. Following a negative real estate demand shock, property managers optimally suspend maintenance and the probability that they ever restart can be modest. Because maintenance expenditures are proportionately less risky than are the incremental building profits...

This paper utilizes microdata to directly quantify the impact of mortgage underwriting criteria on individual homeownership propensities. To determine whether a family is constrained by these criteria, the optimal home purchase price is estimated. The results indicate that wealth and income...

Recent contributions to the literature have resulted in a standard modelling of office markets. The models provide considerable insight into the working of office markets. • Nonetheless, a major difficulty is the use of data for a single city or aggregate data for the U.S. The latter...

This paper compares housing price indices estimated using three models with several sets of property transaction data. The commonly used hedonic price model suffers from potential specification bias and inefficiency, while the weighted repeat-sales model presents potentially more serious bias...