IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v47y2015i5p499-518.html
   My bibliography  Save this article

An alternative method for identifying booms and busts in the Euro area housing market

Author

Listed:
  • Dieter Gerdesmeier
  • Andreja Lenarčič
  • Barbara Roffia

Abstract

This article develops a model-based method to detect booms and busts in the Euro area housing market. A model is constructed and tested, whereby the user cost rate, a demographic variable, unemployment rate, disposable income, debt-to-income ratio and housing stock are fundamental variables significantly explaining house price (HP) developments. Booms/busts are identified as episodes when the HP index exceeds the levels implied by those economic fundamentals. Furthermore, a cross-check with boom/bust episodes based on other methods is carried out to substantiate the results, while the ability of the model in predicting booms/busts in real time is also tested.

Suggested Citation

  • Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
  • Handle: RePEc:taf:applec:v:47:y:2015:i:5:p:499-518
    DOI: 10.1080/00036846.2014.975328
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2014.975328
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    2. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    3. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    4. Kostas Tsatsaronis & Haibin Zhu, 2004. "What drives housing price dynamics: cross-country evidence," BIS Quarterly Review, Bank for International Settlements, March.
    5. Ioannis Ganoulis & Massimo Giuliodori, 2011. "Financial liberalization and house price dynamics in Europe," Applied Economics, Taylor & Francis Journals, vol. 43(21), pages 2671-2688.
    6. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," Review of Economic Studies, Oxford University Press, vol. 58(3), pages 407-436.
    7. Kearl, J R, 1979. "Inflation, Mortgages, and Housing," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 1115-1138, October.
    8. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, Winter.
    9. Saikkonen, Pentti, 1992. "Estimation and Testing of Cointegrated Systems by an Autoregressive Approximation," Econometric Theory, Cambridge University Press, vol. 8(01), pages 1-27, March.
    10. Vladimir Klyuev, 2008. "What Goes Up Must Come Down? House Price Dynamics in the United States," IMF Working Papers 08/187, International Monetary Fund.
    11. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
    12. James M. Poterba, 1984. "Tax Subsidies to Owner-Occupied Housing: An Asset-Market Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 99(4), pages 729-752.
    13. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    14. Michael D. Bordo & Olivier Jeanne, 2002. "Boom-Busts in Asset Prices, Economic Instability, and Monetary Policy," NBER Working Papers 8966, National Bureau of Economic Research, Inc.
    15. Luca GATTINI & Paul HIEBERT, "undated". "Forecasting and Assessing Euro Area House Prices Through the Lens of Key Fundamentals," EcoMod2010 259600061, EcoMod.
    16. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    17. Koenker, Roger & Zhao, Quanshui, 1996. "Conditional Quantile Estimation and Inference for Arch Models," Econometric Theory, Cambridge University Press, vol. 12(05), pages 793-813, December.
    18. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    19. 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.
    20. Dieter Gerdesmeier & Hans-Eggert Reimers & Barbara Roffia, 2011. "Early Warning Indicators for Asset Price Booms," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-19, June.
    21. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    22. Claudio E. V. Borio & Philip Lowe, 2004. "Securing sustainable price stability: should credit come back from the wilderness?," BIS Working Papers 157, Bank for International Settlements.
    23. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    24. Palle S. Andersen & Neale Kennedy, 1994. "Household saving and real house prices: an international perspective," BIS Working Papers 20, Bank for International Settlements.
    25. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.
    26. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    27. Bordo, Michael D & Jeanne, Olivier, 2002. "Monetary Policy and Asset Prices: Does 'Benign Neglect' Make Sense?," International Finance, Wiley Blackwell, vol. 5(2), pages 139-164, Summer.
    28. Antipa, P. & Lecat, R., 2009. "The “housing bubble” and financial factors: Insights from a structural model of the French and Spanish residential markets," Working papers 267, Banque de France.
    29. Detken, Carsten & Alessi, Lucia, 2009. "'Real time'early warning indicators for costly asset price boom/bust cycles: a role for global liquidity," Working Paper Series 1039, European Central Bank.
    30. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    31. Diana Kasparova & Michael White, 2001. "The Responsiveness Of House Prices To Macroeconomic Forces: A Cross-Countr Y Comparison," International Journal of Housing Policy, Taylor & Francis Journals, vol. 1(3), pages 385-416.
    32. Jonathan McCarthy & Richard Peach, 2004. "Are home prices the next "bubble"?," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 1-17.
    33. Jonathan McCarthy & Richard Peach, 2002. "Monetary policy transmission to residential investment," Economic Policy Review, Federal Reserve Bank of New York, issue May, pages 139-158.
    34. Michelle L. Barnes & Anthony W. Hughes, 2002. "A quantile regression analysis of the cross section of stock market returns," Working Papers 02-2, Federal Reserve Bank of Boston.
    35. William W. Alberts, 1962. "Business Cycles, Residential Construction Cycles, and the Mortgage Market," Journal of Political Economy, University of Chicago Press, vol. 70, pages 263-263.
    36. Roger Koenker & Zhijie Xiao, 2002. "Inference on the Quantile Regression Process," Econometrica, Econometric Society, vol. 70(4), pages 1583-1612, July.
    37. Lecat, R. & Mésonnier, J-S., 2005. "Dynamique des prix des logements : quel rôle des facteurs financiers ?," Bulletin de la Banque de France, Banque de France, issue 133, pages 29-47.
    38. José Ferreira Machado & João Sousa, 2006. "Identifying asset price booms and busts with quantile regressions," Working Papers w200608, Banco de Portugal, Economics and Research Department.
    39. 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. Stijn Ferrari & Mara Pirovano, 2014. "Evaluating early warning indicators for real estate related risks," Financial Stability Review, National Bank of Belgium, vol. 12(1), pages 123-140, June.
    2. John Cotter & Stuart Gabriel & Richard Roll, 2015. "Can Housing Risk Be Diversified? A Cautionary Tale from the Housing Boom and Bust," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 913-936.
    3. Stijn Ferrari & Mara Pirovano & Wanda Cornacchia, 2015. "Identifying early warning indicators for real estate-related banking crises," ESRB Occasional Paper Series 08, European Systemic Risk Board.
    4. 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.
    5. Martin Schneider, 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.
    6. Akcay, Belgin & Yucel, Eray, 2014. "Unveiling the House Price Movements and Financial Development," MPRA Paper 59377, University Library of Munich, Germany, revised 19 Oct 2014.

    More about this item

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    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:taf:applec:v:47:y:2015:i:5:p:499-518. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.