IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp1142.html
   My bibliography  Save this paper

An Early Warning System to Predict the House Price Bubbles

Author

Listed:
  • Christian Dreger
  • Konstantin A. Kholodilin

Abstract

In this paper, we construct the country-specific chronologies of the house price bubbles for 12 OECD countries over the period 1969:Q1- 2010:Q2. These chronologies are obtained using a combination of a fundamental and a filter approaches. The resulting speculative bubble chronology is the one that provides the highest concordance between these two techniques. In addition, we suggest an early warning system based on three alternative approaches: signalling approach, logit and probit models. It is shown that the latter two models allow much more accurate predictions of the house price bubbles than the signalling approach. The prediction accuracy of the logit and probit models is high enough to make them useful in forecasting the future speculative bubbles in housing market. Thus, our method can be used by the policymakers in their attempts to timely detect the house price bubbles and attenuate their devastating effects on the domestic and world economy.

Suggested Citation

  • Christian Dreger & Konstantin A. Kholodilin, 2011. "An Early Warning System to Predict the House Price Bubbles," Discussion Papers of DIW Berlin 1142, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1142
    as

    Download full text from publisher

    File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.376599.de/dp1142.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393 Elsevier.
    3. Alessandro Calza & Tommaso Monacelli & Livio Stracca, 2013. "Housing Finance And Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 11, pages 101-122, January.
    4. Pietro Catte & Nathalie Girouard & Robert W. R. Price & Christophe André, 2004. "Housing Markets, Wealth and the Business Cycle," OECD Economics Department Working Papers 394, OECD Publishing.
    5. Aizenman, Joshua & Jinjarak, Yothin, 2009. "Current account patterns and national real estate markets," Journal of Urban Economics, Elsevier, vol. 66(2), pages 75-89, September.
    6. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    7. Case Karl E. & Quigley John M. & Shiller Robert J., 2005. "Comparing Wealth Effects: The Stock Market versus the Housing Market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-34, May.
    8. Paul van den Noord, 2005. "Tax Incentives and House Price Volatility in the Euro Area: Theory and Evidence," Economie Internationale, CEPII research center, issue 101, pages 29-45.
    9. Christopher D. Carroll & Misuzu Otsuka & Jirka Slacalek, 2006. "How Large Is the Housing Wealth Effect? A New Approach," NBER Working Papers 12746, National Bureau of Economic Research, Inc.
    10. S Holly & M Hashem Pesaran & T Yamagata, "undated". "Spatial and Temporal Diffusion of House Prices in the UK," Discussion Papers 09/32, Department of Economics, University of York.
    11. Setzer, Ralph & van den Noord, Paul & Wolff, Guntram B., 2011. "Heterogeneity in money holdings across euro area countries: The role of housing," European Journal of Political Economy, Elsevier, vol. 27(4), pages 764-780.
    12. Christian Dreger & Jürgen Wolters, 2009. "Money velocity and asset prices in the euro area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(1), pages 51-63, February.
    13. Marco Terrones & Enrique G. Mendoza, 2008. "An Anatomy of Credit Booms; Evidence From Macro Aggregates and Micro Data," IMF Working Papers 08/226, International Monetary Fund.
    14. Ludwig, Alexander & Sløk, Torsten, 2004. "The relationship between stock prices, house prices and consumption in OECD," Sonderforschungsbereich 504 Publications 04-12, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    15. John Muellbauer & Anthony Murphy, 2008. "Housing markets and the economy: the assessment," Oxford Review of Economic Policy, Oxford University Press, vol. 24(1), pages 1-33, spring.
    16. John N. Muellbauer, 2007. "Housing, credit and consumer expenditure," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 267-334.
    17. Heitor Almeida & Murillo Campello & Crocker Liu, 2006. "The Financial Accelerator: Evidence from International Housing Markets," Review of Finance, European Finance Association, vol. 10(3), pages 321-352, September.
    18. Charles Goodhart & Boris Hofmann, 2008. "House prices, money, credit, and the macroeconomy," Oxford Review of Economic Policy, Oxford University Press, vol. 24(1), pages 180-205, spring.
    19. 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.
    20. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    21. James M. Poterba, 2000. "Stock Market Wealth and Consumption," Journal of Economic Perspectives, American Economic Association, vol. 14(2), pages 99-118, Spring.
    22. Tobias Adrian & Hyun Song Shin, 2008. "Liquidity, monetary policy, and financial cycles," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 14(Jan).
    23. Kholodilin Konstantin A. & Menz Jan-Oliver & Siliverstovs Boriss, 2010. "What Drives Housing Prices Down? Evidence from an International Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(1), pages 59-76, February.
    24. 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.
    25. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Caporale, Guglielmo Maria & Costantini, Mauro & Paradiso, Antonio, 2013. "Re-examining the decline in the US saving rate: The impact of mortgage equity withdrawal," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 215-225.
    2. Helmut Herwartz & Konstantin A. Kholodilin, 2014. "In‐Sample and Out‐of‐Sample Prediction of stock Market Bubbles: Cross‐Sectional Evidence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 15-31, January.
    3. Michael Berlemann & Julia Freese & Sven Knoth, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," CESifo Working Paper Series 3962, CESifo Group Munich.
    4. Christophe André, 2016. "Household debt in OECD countries: stylised facts and policy issues," Chapters from NBP Conference Publications, Narodowy Bank Polski, Economic Research Department.

    More about this item

    Keywords

    House prices; early warning system; OECD countries;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwwpp:dp1142. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bibliothek). General contact details of provider: http://edirc.repec.org/data/diwbede.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.