Common business and housing market cycles in the Euro area from a multivariate decomposition
AbstractThe 2007 sub-prime crisis in the United States, prolonged by a severe economic recession spread over many countries around the world, has led many economic researchers to focus on the recent fluctuations in housing prices and their relationships with macroeconomics and monetary policies. The existence of common housing cycles among the countries of the euro zone could lead the European Central Bank to integrate more specifically the evolution of such asset prices in its assessment. In this paper, we implement a multivariate unobserved component model on housing market variables in order to assess the common euro area housing cycle and to evaluate its relationship with the economic cycle. Among the general class of multivariate unobserved component models, we implement the band-pass filter based on the trend plus cycle decomposition model and we allow the existence of two cycles of different periods. The dataset consists of gross domestic product and real house prices series for four main euro area countries (Germany, France, Italy and Spain). Empirical results show a strong relationship for business cycles in France, Italy and Spain. Moreover, French and Spanish house prices cycles appear to be strongly related, while the German one possesses its own dynamics. Finally, we find that GDP and house prices cycles are related in the medium-term for fluctuations between 4 and 8 years, while the housing market contributes to the long-term economic growth only in Spain and Germany.
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Bibliographic InfoPaper provided by Banque de France in its series Working papers with number 275.
Length: 33 pages
Date of creation: 2010
Date of revision:
House prices; Business cycles; Euro area; Unobserved components model.;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-04-11 (All new papers)
- NEP-CBA-2010-04-11 (Central Banking)
- NEP-EEC-2010-04-11 (European Economics)
- NEP-MAC-2010-04-11 (Macroeconomics)
- NEP-URE-2010-04-11 (Urban & Real Estate Economics)
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- Frédéric Karamé & Yannick Fondeur, 2012.
"Can Google Data Help Predict French Youth Unemployment?,"
Documents de recherche
12-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
- Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
- Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.
- Goodness C. Aye & Mehmet Balcilar & Adel Bosch & Rangan Gupta, 2013. "Housing and the Business Cycle in South Africa," Working Papers 201323, University of Pretoria, Department of Economics.
- Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
- Christophe Andre & Luis A. Gil-Alana & Rangan Gupta, 2013. "Comovement in Euro Area Housing Prices: A Fractional Cointegration Approach," Working Papers 201359, University of Pretoria, Department of Economics.
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