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...

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...

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...

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...

In geographically segmented credit markets, local real estate booms can deteriorate the funding conditions for small manufacturing firms and undermine their competitiveness. Using exogenous variation in the administrative land supply across 172 Chinese cities, we show that higher predicted real...

This study provides new evidence on the impact of climate physical risk (as measured by the Global Climate Risk Index (CRI) from Germanwatch) on stock market returns. Specifically, a panel model with fixed effects is estimated using annual data from 2007 to 2021 for a set of 65 countries as well...

This paper is mainly concerned with the analysis of regional house price cycles. Based on a newly available data set consisting of the 40 largest U.S. Metropolitan Statistical Areas (MSAs), we introduce a wavelet transform based metric to study the housing cycle synchronization across MSAs. We...

The recent house price experiences within an individual's social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity. Our data combine anonymized social network information from Facebook with...