The price-amenity arbitrage is a cornerstone of spatial economics, as the response of land and house prices to shifts in the quality of local amenities and public goods is typically used to reveal households' willingness to pay for amenities. With informational, time, and cash constraints, households' ability to arbitrage across locations with different amenities (demographics, crime, education, housing) depends on their ability to compare locations and to finance the swap of houses. Arbitrageurs with deep pockets and better search and matching technology can take advantage of price dispersions and unexploited trade opportunities. The authors develop a disaggregated search and matching model of the housing market with endogenously bargained prices, identified on transaction-level data from the universe of deeds for 6,400+ neighborhoods of the Chicago metropolitan area, matched with school-level test scores and geocoded criminal offenses. Price-amenity gradients reflect preferences and the capitalization of trading opportunities, which are arbitraged away in the frictionless limit. Thus the time-variation in hedonic pricing coefficients partly reflects the time variation in search and credit frictions. Their model is able to explain that, between the peak of the housing boom and its trough, the sign of the price-amenity gradient flipped, due to the decline in trading opportunities in lower-amenity neighborhoods and due to the lower capitalization of trading opportunities in house prices.

Speaker

Amine Ouazad

HEC Montréal, Canada

Additional information on Virtual Real Estate Seminars

The aim of this seminar series is to bring together people from academia and industry interested in the latest real estate research. In this series of bi-weekly presentations, we invite papers from scholars
who would like to present their ongoing work. Presentations will be 25 minutes long, followed by 25 minutes for the Q&A session. Junior researchers, students, and practitioners are very welcome to take part.

Date

14.05.2020 | 17:00 - 18:00 (CET)

Event Location

Online


Department
Category
Keywords

Contact

Junior Research Associate