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Housing price dynamics and convergence in high-tech metropolitan economies

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  • Kang, Wensheng

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.

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  • 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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    Cited by:

    1. Haiyong Zhang & Xinyu Wang, 2018. "The impact of structural adjustment on housing prices in China," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 32(1), pages 108-119, May.
    2. 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.
    3. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.

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