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Convergence in US house prices

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  • Montañés, A.
  • Olmos, L.

Abstract

This paper analyses the convergence of US house prices. Our results confirm the existence of some degree of segmentation in the US housing market. We also provide robust evidence that the bursting of the housing price bubble has altered this market, observing different results when the sample includes information posterior to 2010. However, we appreciate different effects depending on the geographical level of disaggregation that is employed.

Suggested Citation

  • Montañés, A. & Olmos, L., 2013. "Convergence in US house prices," Economics Letters, Elsevier, vol. 121(2), pages 152-155.
    • Handle: RePEc:eee:ecolet:v:121:y:2013:i:2:p:152-155
    DOI: 10.1016/j.econlet.2013.07.021
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    References listed on IDEAS

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    1. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
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    4. Peter C. B. Phillips & Donggyu Sul, 2009. "Economic transition and growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1153-1185, November.
    5. Ghysels, Eric & Perron, Pierre, 1993. "The effect of seasonal adjustment filters on tests for a unit root," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 57-98.
    6. Giorgio Canarella & Stephen Miller & Stephen Pollard, 2012. "Unit Roots and Structural Change," Urban Studies, Urban Studies Journal Limited, vol. 49(4), pages 757-776, March.
    7. Kim, Young Se & Rous, Jeffrey J., 2012. "House price convergence: Evidence from US state and metropolitan area panels," Journal of Housing Economics, Elsevier, vol. 21(2), pages 169-186.
    8. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working Papers 1004, University of Nevada, Las Vegas , Department of Economics.
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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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