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Predicting turning points in the housing market

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  • Croce, Roberto M.
  • Haurin, Donald R.

Abstract

We identify leading indicators of changes in the housing market and compare their performance in predicting turning points. Being able to predict turning points is of importance to the home building industry, homeowners, and makers of housing policy. Our leading indicators include the Wells Fargo/NAHB Housing Market Index, two of its forward looking components, and an index of consumer sentiment regarding purchasing a home. Our comparison tests include Granger causality and a Bayesian predictor of the probability of a turning point. We find that the measure of consumer sentiment performs relatively well compared to the HMI in predicting home permits, housing starts, and new home sales.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Housing Economics.

Volume (Year): 18 (2009)
Issue (Month): 4 (December)
Pages: 281-293

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Handle: RePEc:eee:jhouse:v:18:y:2009:i:4:p:281-293

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Web page: http://www.elsevier.com/locate/inca/622881

Related research

Keywords: R31 R21 C53 E37 Forecasting Housing starts Building permits Home sales Turning points;

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References

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  1. Hwang, Min & Quigley, John M., 2006. "Economic Fundamentals in Local Housing Markets: Evidence from U.S. Metropolitan Regions," Berkeley Program on Housing and Urban Policy, Working Paper Series qt79d325cm, Berkeley Program on Housing and Urban Policy.
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  7. Arturo Estrella & Frederic S. Mishkin, 1996. "Predicting U.S. recessions: financial variables as leading indicators," Research Paper 9609, Federal Reserve Bank of New York.
  8. Francis X. Diebold & Glenn D. Rudebusch, 1987. "Scoring the leading indicators," Special Studies Papers 206, Board of Governors of the Federal Reserve System (U.S.).
  9. James H. Stock & Mark W. Watson, 1993. "A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 95-156 National Bureau of Economic Research, Inc.
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  11. Fan, Chengze Simon & Wong, Phoebe, 1998. "Does consumer sentiment forecast household spending?: The Hong Kong case," Economics Letters, Elsevier, vol. 58(1), pages 77-84, January.
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  14. Teresa Santero & Niels Westerlund, 1996. "Confidence Indicators and Their Relationship to Changes in Economic Activity," OECD Economics Department Working Papers 170, OECD Publishing.
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  16. Vuchelen, Jef, 2004. "Consumer sentiment and macroeconomic forecasts," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 493-506, August.
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Cited by:
  1. Agnello, Luca & Schuknecht, Ludger, 2009. "Booms and busts in housing markets: determinants and implications," Working Paper Series 1071, European Central Bank.
  2. Meichi Huang, 2013. "Housing bubble implications: The perspective of housing price predictability," Economics Bulletin, AccessEcon, vol. 33(1), pages 586-596.
  3. Hyejung Moon & Jungick Lee, 2013. "Forecast evaluation of economic sentiment indicator for the Korean economy," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 180-190 Bank for International Settlements.
  4. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.

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