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Long-Run Equilibrium Shift and Short-Run Dynamics of U.S. Home Price Tiers during the Housing Bubble

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  • Damianov, Damian S
  • Escobari, Diego

Abstract

We use vector error correction models to examine the interdependence between the high and the low price tiers during the latest housing market boom and bust. For 118 of the 364 US statistical areas analyzed, the tiered price indexes are bound by a long-run relationship. In general, low tier homes appreciated more than high tier homes in the past two decades. In contrast to previous periods of high volatility, however, low tier homes appreciated more during the boom and lost more value during the bust of the market. We find a shift in the long-run equilibrium during the bubble -the cointegration parameter that ties the tiers together is greater in absolute value during the bubble period compared to the periods of more moderate appreciation and depreciation rates. Moreover, the shift in the long-run equilibrium can be explained by differences in subprime originations across housing markets. We also find that short run price dynamics is driven by momentum in both segments of the market.

Suggested Citation

  • Damianov, Damian S & Escobari, Diego, 2015. "Long-Run Equilibrium Shift and Short-Run Dynamics of U.S. Home Price Tiers during the Housing Bubble," MPRA Paper 65765, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:65765
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    Cited by:

    1. Escobari, Diego & Jafarinejad, Mohammad, 2016. "Date stamping bubbles in Real Estate Investment Trusts," The Quarterly Review of Economics and Finance, Elsevier, vol. 60(C), pages 224-230.
    2. Bruce Morley & Dennis Thomas, 2016. "An Empirical Analysis of UK House Price Risk Variation by Property Type," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 45-56, May.
    3. Damian S. Damianov & Diego Escobari, 2021. "Getting on and Moving Up the Property Ladder: Real Hedging in the U.S. Housing Market Before and After the Crisis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1201-1237, December.
    4. Gabriele Galati & Federica Teppa & Rob Alessie, 2013. "Heterogeneity in house price dynamics," DNB Working Papers 371, Netherlands Central Bank, Research Department.
    5. Killins, Robert N. & Egly, Peter V. & Escobari, Diego, 2017. "The impact of oil shocks on the housing market: Evidence from Canada and U.S," Journal of Economics and Business, Elsevier, vol. 93(C), pages 15-28.
    6. Shengguo Li & Jiaqi Liu & Jichang Dong & Xuerong Li, 2021. "20 Years of Research on Real Estate Bubbles, Risk and Exuberance: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    7. Damianov, Damian S. & Elsayed, Ahmed H., 2018. "On the transmission of spillover risks between the housing market, the mortgage and equity REITs markets, and the stock market," Finance Research Letters, Elsevier, vol. 27(C), pages 193-200.
    8. Sara Ferreira Filipe, 2018. "Housing prices and mortgage credit in Luxembourg," BCL working papers 117, Central Bank of Luxembourg.

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    More about this item

    Keywords

    Residential real estate markets; Housing Price Tiers;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • 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
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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