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Which Factors Capitalize into House Prices? A Bayesian Averaging Approach

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  • David Stadelmann

Abstract

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.

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Bibliographic Info

Paper provided by Center for Research in Economics, Management and the Arts (CREMA) in its series CREMA Working Paper Series with number 2009-10.

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Date of creation: May 2009
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Handle: RePEc:cra:wpaper:2009-10

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Keywords: Capitalization; House Price Hedonic; Taxes; Model Uncertainity; Bayesian Model Averaging;

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Cited by:
  1. Schaltegger, Christoph A. & Somogyi, Frank & Sturm, Jan-Egbert, 2011. "Tax competition and income sorting: Evidence from the Zurich metropolitan area," European Journal of Political Economy, Elsevier, vol. 27(3), pages 455-470, September.
  2. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2012. "Macroeconomic Forecasts in Models with Bayesian Averaging of Classical Estimates," Contemporary Economics, University of Finance and Management in Warsaw, vol. 6(1), March.
  3. Karolien De Bruyne & Jan Van Hove, 2013. "Explaining the spatial variation in housing prices: an economic geography approach," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1673-1689, May.

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