We compare four traditional repeat sales indices to a recently developed autoregressive index that makes use of the repeat sales methodology but incorporates single sales and a location effect. Qualitative comparisons on statistical issues including the effect of gap time on sales, use of...

We study long-term returns on residential real estate in twenty-seven "superstar" cities in fifteen countries over 150 years. We find that total returns in superstar cities are close to 100 basis points lower per year than in the rest of the country. House prices tend to grow faster in the...

We study long-term returns on residential real estate in 27 "superstar" cities in 15 countries over 150 years. We find that total returns in superstar cities are close to 100 basis points lower per year than in the rest of the country. House prices tend to grow faster in the superstars, but rent...

We show that the COVID-19 pandemic brought house price and rent declines in city centers, and price and rent increases away from the center, thereby flattening the bid-rent curve in most U.S. metropolitan areas. Across MSAs, the flattening of the bid-rent curve is larger when working from home...

With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current...

Empirical research on cities starts with a spatial equilibrium condition: workers and firms are assumed to be indifferent across space. This condition implies that research on cities is different from research on countries, and that work on places within countries needs to consider population,...

House price prediction has traditionally been approached using linear or spatial linear hedonic models and focused on big cities. In this study, we developed a flexible spatiotemporal model (FSTM) to explore the spatiotemporal characteristics of the residential house price and the impact factors...

In this work, we present a gridded dataset about land cover, population density, real estate, and transportation in 192 worldwide urban areas representing together 800 million people. While population density and land cover are secondary data extracted from the GHS-POP and the ESA CCI databases...

This paper examines the housing affordability conditions of the low and moderate income rental households in the United States between 1980 and 2010. Using Integrated Public Use Census Microdata Samples (IPUMS) 5% sample data, we create income and rent distribution for households separately for...