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Housing bubble implications: The perspective of housing price predictability

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  • Meichi Huang

    (National Taipei University)

Abstract

The paper extracts housing bubble implications from the perspective of housing price predictability. Specifically, it examines predictive powers of the good-time-to-buy (GTTB) index and the federal funds rate in nationwide and state-level housing price returns by means of out-of-sample tests suggested in Rapach and Wohar (2006). The GTTB index is used to proxy for households' expectations, and the interest rate represents the economic fundamental. The empirical results indicate the predictive advantage of the GTTB index over the federal funds rate, and suggest higher vulnerability to bubble-like housing cycles in the housing markets of California, New York, New Jersey, Washington, Massachusetts and Arizona than other states. Overall, the study sheds insights into divergent predictability patterns between in-sample and out-of-sample forecasts, those between aggregate and disaggregate housing price dynamics, and those across state-level housing markets.

Suggested Citation

  • Meichi Huang, 2013. "Housing bubble implications: The perspective of housing price predictability," Economics Bulletin, AccessEcon, vol. 33(1), pages 586-596.
  • Handle: RePEc:ebl:ecbull:eb-12-00735
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    1. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.

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    More about this item

    Keywords

    predictability; the GTTB(good time to buy) index; federal funds rate; housing bubble;
    All these keywords.

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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