Abstract

 


 



Forecasting House Prices in Germany


Philipp An de Meulen


RWI

Torsten Schmidt


Rhine-Westphalia Institute for Economic Research (RWI)

Martin Micheli


Rhine-Westphalia Institute for Economic Research (RWI-Essen)

November 1, 2011


Abstract:     
In the academic debate there is a broad consensus that house price fluctuations have a substantial impact on financial stability and real economic activity. Therefore, it is important to have timely information on actual and expected house price developments. The aim of this paper is to measure the latest price movements in different real estate markets in Germany and forecast near-term price developments. Therefore we construct hedonic house price indices based on real estate advertisements on the internet platform ImmobilienScout24. Then, starting with a naive AR(p) model as a benchmark, we investigate whether VAR and ARDL models using additional macroeconomic information can improve the forecasting performance as measured by the mean squared forecast error (MSFE). While these models reduce the forecast error only slightly, forecast combination approaches enhance the predictive power considerably.

Number of Pages in PDF File: 25

Keywords: House price forecasts, forecast combination, hedonic price index

JEL Classification: C43, C53, R31

working papers series


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Date posted: December 15, 2011  

Suggested Citation

An de Meulen, Philipp, Schmidt, Torsten and Micheli, Martin, Forecasting House Prices in Germany (November 1, 2011). Available at SSRN: http://ssrn.com/abstract=1969765 or http://dx.doi.org/10.2139/ssrn.1969765

Contact Information

Philipp An de Meulen
RWI ( email )
Hohenzollernstr. 1-3
Essen, 45128
Germany
HOME PAGE: http://www.rwi-essen.de
Torsten Schmidt (Contact Author)
Rhine-Westphalia Institute for Economic Research (RWI) ( email )
45128 Essen
Germany
Martin Micheli
Rhine-Westphalia Institute for Economic Research (RWI-Essen) ( email )
Hohenzollernstr. 1-3
Essen, 45128
Germany
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