We develop a programming algorithm that predicts a balanced-panel mix-adjusted house price index for arbitrary spatial units from repeated cross-sections of geocoded micro data. The algorithm combines parametric and non-parametric estimation techniques to provide a tight local fit where the...

Round numbers affect behavior in various domains, e.g., as prominent thresholds or focal points in bargaining. In line with earlier findings, residential real estate transactions in Germany cluster at round-number prices, but there are also interesting (presumably cultural) differences. We...

The aim of the study is to explain if the foreclosure effect on prices is explained by a lower quality of foreclosed houses, which is a crucial aspect in the intelligibility of foreclosures. Based on a novel and comprehensive dataset, we estimate the impact of foreclosure on home prices in...

We focus on the housing market and examine why nonlocal home buyers (NLBs) pay 15 percent more for houses than local home buyers (LBs). We estimate a housing demand model that returns heterogeneous willingness to pay parameters for housing attributes. Our results show that NLBs are willing to...

In the U.S. real estate market, around 30 percent of listed properties remain unsold. We examine whether unsold property listings exert externalities in the housing market. Our study builds on a comprehensive dataset that encompasses residential property listings in Orange County (California)...

We examine the evolution of spatial house price dispersion during Germany’s recent housing boom. Using a dataset of sales listings, we find that house price dispersion has significantly increased, which is driven entirely by rising price variation across postal codes. We show that both price...

Tall buildings are central to facilitating sustainable urbanization and growth in cities worldwide. We estimate average elasticities of city population and built area to aggregate city building heights of 0.12 and -0.17, respectively, indicating that the largest global cities in developing...

This paper uncovers if and how insurance companies react to shocks to collateral in their portfolio of securitized assets. We address this question in the context of commercial real estate cash flow shocks, which are informationally opaque to holders of commercial mortgage-backed securities...

Changes in product characteristics on the extensive margin are an important and hitherto neglected dimension of quality change. Standard techniques for quality-adjusting price indices cannot handle such changes satisfactorily, which leads to an economically and statistically significant bias in...

In this paper, we examine the effects of changes in property tax rates and school spending on residential and business property value growth in southeast Michigan. We use panel data for 152 communities in the five counties surrounding Detroit between the years 1983 and 2002, a period during...