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Is there a National Housing Market Bubble Brewing in the United States?

Author

Listed:
  • Gupta, Rangan

    (Department of Economics, University of Pretoria)

  • Ma, Jun

    (Department of Economics, Northeastern University)

  • Theodoridis, Konstantinos

    (Cardiff Business School)

  • Wohar, Mark E

    (College of Business Administration, University of Nebraska at Omaha)

Abstract

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We find that the contribution of the national factor in explaining fluctuations in house prices is not only critical, but also has been increasing and has become more important than the local factors since around 1990. We then use a Bayesian change-point vector autoregressive (VAR) model, that allows for different regimes throughout the sample period, to study the impact of aggregate supply, aggregate demand, (conventional) monetary policy, and term-spread shocks, identified based on sign-restrictions, on the national component of house price movements. We detect three regimes corresponding to the periods of Great Inflation , Great Moderation , and the zero-lower bound (ZLB). While the conventional monetary policy is found to have played an important role in the historical evolution of the national factor in the first-regime, other shocks are found to be quite dominant as well especially during the second regime, with monetary policy shocks playing virtually no role during this period. In the third-regime, unconventional monetary policy shock is found to have led to a (delayed) recovery in the housing market. But more importantly, we find evidence that the national housing factor has been detached from the identified macroeconomic shocks (fundamentals) since 2014, thus suggesting that a national bubble might be brewing again in the US housing market. Understandably, our results have important policy implications.

Suggested Citation

  • Gupta, Rangan & Ma, Jun & Theodoridis, Konstantinos & Wohar, Mark E, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Cardiff Economics Working Papers E2020/3, Cardiff University, Cardiff Business School, Economics Section.
  • Handle: RePEc:cdf:wpaper:2020/3
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    Cited by:

    1. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2021. "House price synchronization across the US states: The role of structural oil shocks," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    2. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2022. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 64(4), pages 523-545, May.
    3. Bouri, Elie & Gupta, Rangan & Kyei, Clement Kweku & Shivambu, Rinsuna, 2021. "Uncertainty and daily predictability of housing returns and volatility of the United States: Evidence from a higher-order nonparametric causality-in-quantiles test," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 200-206.
    4. Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
    5. André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).

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    More about this item

    Keywords

    House Prices; Time-Varying Dynamic Factor Model; Change-Point Vector Autoregressive Model; Macroeconomic Shocks; Bayesian Analysis;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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