Arbeitspapier
Which Factors Capitalize into House Prices? A Bayesian Averaging Approach
This paper investigates the robustness of 31 community speci?c explanatory variables for house prices in the Swiss metropolitan area of Zurich using Bayesian Model Averaging. The main variables which capitalize with a high posterior prob- ability are location speci?c real estate characteristics, municipal taxes and ex- penditures for culture, health and social services. Demographic as well as other socioeconomic controls seem to be of minor importance. The analysis suggests a minimal list of variables that may be included in any estimation for capitalization of community speci?c characteristics in the context of a metropolitan area in a highly developed country.
- Sprache
-
Englisch
- Erschienen in
-
Series: CREMA Working Paper ; No. 2009-10
- Klassifikation
-
Wirtschaft
Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
Bayesian Analysis: General
Publicly Provided Goods: General
- Thema
-
Capitalization
House Price Hedonic
Taxes
Model Uncertainity
Bayesian Model Averaging
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Stadelmann, David
- Ereignis
-
Veröffentlichung
- (wer)
-
Center for Research in Economics, Management and the Arts (CREMA)
- (wo)
-
Basel
- (wann)
-
2009
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Stadelmann, David
- Center for Research in Economics, Management and the Arts (CREMA)
Entstanden
- 2009
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