Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/285368 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
CFS Working Paper Series No. 690
Verlag: 
Goethe University Frankfurt, Center for Financial Studies (CFS), Frankfurt a. M.
Zusammenfassung: 
We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the municipal level for identification. In contrast to evidence for other countries, we find that the pandemic had only temporary negative effects on rents for some real estate types and increased asset prices of real estate particularly in the top price segment of commercial real estate.
Schlagwörter: 
Real estate
Asset prices
Rents
Covid pandemic
Short-time work
Affordability crisis
JEL: 
E21
E22
G12
G51
R21
R31
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
4.04 MB





Publikationen in EconStor sind urheberrechtlich geschützt.