Data/Code
Data
Regional Housing Returns Database
Francisco Amaral, Martin Dohmen, Sebastian Kohl and Moritz Schularick | 2023
Description: We compiled a new long-run city-level data set covering annual house prices and rents in twenty-seven large (“superstar”) cities in fifteen OECD countries over the past 150 years. For each national superstar city, we calculate long-run total returns on residential real estate investments as the sum of price appreciation and rent returns—and compare them to returns in the rest of the country. For the construction of the data set, we partly drew on existing historical research for individual cities. In most cases, however, we hand-collected new house price and rental series from city yearbooks or primary sources such as newspapers, tax records, and notary archives.
German Real estate price index (GREIX)
Francisco Amaral, Martin Dohmen, Moritz Schularick and Jonas Zdrzalek
Description: We used professional optical character recognition (OCR) software to digitize the archives of the Gutachterausschüsse in several large German cities and merged it with pre-existing digital data. The outcome is the first long-term micro-level dataset of residential property transactions in 20 major German cities going back at least 30 years that can be utilized for research purposes. For more information please visit https://greix.de/.
Francisco Amaral 