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Housing price dynamics and convergence in high-tech metropolitan economies

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  • Kang, Wensheng

Abstract

Abstract This paper estimates the joint effects of spatial diffusion and high-tech industry transmission on housing prices. I find these effects are significant but generate different short-run dynamics and long-run convergence of housing prices. The spatial diffusion effect is instantaneous but short-lived, whereas the high-tech industry effect is persistent. The dynamics conclusion is supported by estimates of a dynamic panel model using data of 42 high-tech metropolitan areas. A further convergence test shows that it is the high-tech industrial transmission mechanism, not the spatial diffusion, to drive the housing price convergence.

Suggested Citation

  • Kang, Wensheng, 2011. "Housing price dynamics and convergence in high-tech metropolitan economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 283-291, June.
  • Handle: RePEc:eee:quaeco:v:51:y:2011:i:3:p:283-291
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    1. Case, Karl E. & Mayer, Christopher J., 1996. "Housing price dynamics within a metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 387-407, June.
    2. Glenn R. Mueller, 1993. "Refining Economic Diversification Strategies for Real Estate Portfolios," Journal of Real Estate Research, American Real Estate Society, vol. 8(1), pages 55-68.
    3. Case Karl E. & Quigley John M. & Shiller Robert J., 2005. "Comparing Wealth Effects: The Stock Market versus the Housing Market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-34, May.
    4. Stephen Malpezzi & Kiat-Ying Seah & James D. Shilling, 2004. "Is It What We Do or How We Do It? New Evidence on Agglomeration Economies and Metropolitan Growth," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(2), pages 265-295, June.
    5. John M. Clapp & Walter Dolde & Dogan Tirtiroglu, 1995. "Imperfect Information and Investor Inferences From Housing Price Dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(3), pages 239-269.
    6. Steven Clark & T. Coggin, 2009. "Trends, Cycles and Convergence in U.S. Regional House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 264-283, October.
    7. Ozanne, Larry & Thibodeau, Thomas, 1983. "Explaining metropolitan housing price differences," Journal of Urban Economics, Elsevier, vol. 13(1), pages 51-66, January.
    8. Topel, Robert H & Rosen, Sherwin, 1988. "Housing Investment in the United States," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 718-740, August.
    9. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    10. Brian A. Cromwell, 1992. "Does California drive the West? an econometric investigation of regional spillovers," Economic Review, Federal Reserve Bank of San Francisco, pages 13-23.
    11. Quigley, John M. & Van Order, Robert, 1991. "Defaults on mortgage obligations and capital requirements for U.S. savings institutions : A policy perspective," Journal of Public Economics, Elsevier, vol. 44(3), pages 353-369, April.
    12. Yoosoon Chang & Wonho Song, 2009. "Testing for Unit Roots in Small Panels with Short-run and Long-run Cross-sectional Dependencies," Review of Economic Studies, Oxford University Press, vol. 76(3), pages 903-935.
    13. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    14. Chang, Yoosoon, 2002. "Nonlinear IV unit root tests in panels with cross-sectional dependency," Journal of Econometrics, Elsevier, vol. 110(2), pages 261-292, October.
    15. Phillips, Peter C. B. & Park, Joon Y. & Chang, Yoosoon, 2004. "Nonlinear instrumental variable estimation of an autoregression," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 219-246.
    16. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. Jim Clayton, 1998. "Further Evidence on Real Estate Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 41-58.
    19. Smith M. & Kohn R., 2002. "Parsimonious Covariance Matrix Estimation for Longitudinal Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1141-1153, December.
    20. Robert E. Litan & Alice M. Rivlin, 2001. "Projecting the Economic Impact of the Internet," American Economic Review, American Economic Association, vol. 91(2), pages 313-317, May.
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    Cited by:

    1. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.

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