Forecasting and assessing Euro area house prices through the lens of key fundamentals
AbstractThis paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations with the macroeconomy. A quarterly vector error correction model is estimated over 1970-2009 using supply and demand forces central to the determination of euro area house prices in equilibrium and their dynamics: housing investment, real disposable income per capita and a mixed maturity measure of the real interest rate. In addition to house price forecasts using the resulting reduced form equation, a structural decomposition of the system is obtained employing a common trends framework of King, Plosser, Stock, and Watson (1991), which allows for the identification and economic interpretation of permanent and transitory shocks. The main results are twofold. First, the reduced form model tracks closely turning points in house prices when examining out-of-sample one- and two- step ahead forecasts. Moreover, the model suggests that euro area housing was overvalued in recent years, implying a period of stagnation to bring housing valuation back in line with its modelled fundamentals. Second, housing demand and financing cost shocks appear to have contributed strongly to the dynamism in euro area house prices over the sample period. While much of the increase appears to reflect a permanent component, a transitory component has also contributed from 2005 onwards. Specification tests suggest a robustness of the small model to alternative specifications, along with validity of the long-run restrictions. JEL Classification: R21, R31, C32
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Bibliographic InfoPaper provided by European Central Bank in its series Working Paper Series with number 1249.
Date of creation: Oct 2010
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Find related papers by JEL classification:
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-09 (All new papers)
- NEP-CBA-2010-10-09 (Central Banking)
- NEP-EEC-2010-10-09 (European Economics)
- NEP-FOR-2010-10-09 (Forecasting)
- NEP-URE-2010-10-09 (Urban & Real Estate Economics)
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- Philipp an de Meulen & Martin Micheli & Torsten Schmidt, 2011. "Forecasting House Prices in Germany," Ruhr Economic Papers 0294, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- Chan Lily & Ng Heng Tiong & Rishi Ramchand, 2012. "A cluster analysis approach to examining Singapore’s property market," BIS Papers chapters, in: Bank for International Settlements (ed.), Property markets and financial stability, volume 64, pages 43-53 Bank for International Settlements.
- Gerdesmeier, Dieter & Lenarčič, Andreja & Roffia, Barbara, 2012. "An alternative method for identifying booms and busts in the euro area housing market," Working Paper Series 1493, European Central Bank.
- Schneider, Martin, 2013. "Are Recent Increases of Residential Property Prices in Vienna and Austria Justified by Fundamentals?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 29-46.
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