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An early warning system to predict the speculative house price bubbles

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  • Dreger, Christian
  • Kholodilin, Konstantin A.

Abstract

In this paper, the authors construct country-specific chronologies of house price bubbles for 12 OECD countries over the period 1969:Q1-2009:Q4. These chronologies are obtained using a combination of fundamental and filter approaches. The resulting speculative bubble chronology is the one providing the highest concordance between these two techniques. In addition, the authors suggest an early warning system based on three alternative approaches: signaling approach, logit, and probit models. It is shown that the latter two models allow much more accurate predictions of house price bubbles than the signaling approach. The prediction accuracy of the logit and probit models is high enough to make them useful in forecasting the future speculative bubbles in the housing market. Thus, this method can be used by policymakers in their attempts to timely detect house price bubbles and to attenuate their devastating effects on the domestic and world economy. --

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Bibliographic Info

Paper provided by Kiel Institute for the World Economy in its series Economics Discussion Papers with number 2012-44.

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Date of creation: 2012
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Handle: RePEc:zbw:ifwedp:201244

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Keywords: house prices; early warning system; OECD countries;

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References

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  1. Calza, Alessandro & Stracca, Livio & Monacelli, Tommaso, 2009. "Housing finance and monetary policy," Working Paper Series 1069, European Central Bank.
  2. Case, Karl E. & Quigley, John M. & Shiller, Robert J., 2005. "Comparing Wealth Effects: The Stock Market versus the Housing Market," Berkeley Program on Housing and Urban Policy, Working Paper Series qt28d3s92s, Berkeley Program on Housing and Urban Policy.
  3. Konstantin A. Kholodilin & Jan-Oliver Menz & Boriss Siliverstovs, 2010. "What Drives Housing Prices Down? Evidence from an International Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 230(1), pages 59-76, February.
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  5. Matteo Iacoviello & Stefano Neri, 2007. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," Boston College Working Papers in Economics 659, Boston College Department of Economics, revised 23 Oct 2009.
  6. Christian Dreger & Jürgen Wolters, 2008. "Money Velocity and Asset Prices in the Euro Area," Working Paper / FINESS 7.1b, DIW Berlin, German Institute for Economic Research.
  7. Aoki, Kosuke & Proudman, James & Vlieghe, Gertjan, 2004. "House prices, consumption, and monetary policy: a financial accelerator approach," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 414-435, October.
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  12. Sean Holly & M. Hashem Pesaran & Takashi Yamagata, 2010. "Spatial and Temporal Diffusion of House Prices in the UK," CESifo Working Paper Series 2913, CESifo Group Munich.
  13. Christian Dreger & Hans-Eggert Reimers, 2009. "The Role of Asset Markets for Private Consumption: Evidence from Paneleconometric Models," Discussion Papers of DIW Berlin 872, DIW Berlin, German Institute for Economic Research.
  14. Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
  15. Muellbauer, John, 2008. "Housing, Credit and Consumer Expenditure," CEPR Discussion Papers 6782, C.E.P.R. Discussion Papers.
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Cited by:
  1. Kajuth, Florian & Knetsch, Thomas A. & Pinkwart, Nicolas, 2013. "Assessing house prices in Germany: Evidence from an estimated stock-flow model using regional data," Discussion Papers 46/2013, Deutsche Bundesbank, Research Centre.

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