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The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada

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  • Lutz Kilian
  • Xiaoqing Zhou
Abstract
The response of Canadian housing markets to oil price shocks provides strong evidence that shocks to the demand for housing that originate in one region also raise house prices in other regions. We develop a theoretical model that helps understand this finding. The model differentiates between oil‐producing and nonoil‐producing regions and incorporates multiple sectors, trade between provinces, government redistribution, and consumer spending on fuel. We empirically confirm the model prediction that oil price shocks are transmitted to housing markets in nonoil‐producing regions by the government redistribution of oil revenue and increased interprovincial trade.

Suggested Citation

  • Lutz Kilian & Xiaoqing Zhou, 2022. "The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 953-987, June.
  • Handle: RePEc:wly:jmoncb:v:54:y:2022:i:4:p:953-987
    DOI: 10.1111/jmcb.12847
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    3. Wang, Yudong & Hao, Xianfeng, 2022. "Forecasting the real prices of crude oil: A robust weighted least squares approach," Energy Economics, Elsevier, vol. 116(C).
    4. Kilian, Lutz & Zhou, Xiaoqing, 2024. "Heterogeneity in the pass-through from oil to gasoline prices: A new instrument for estimating the price elasticity of gasoline demand," Journal of Public Economics, Elsevier, vol. 232(C).
    5. Sugaipov, Deni, 2022. "Estimating the impact of terms of trade news shocks on the Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 39-67.
    6. Andre Harrison & Annika Segelhorst, 2024. "Do consumer price indices in oil-producing economies respond differently to oil market shocks? Evidence from Canada," Empirical Economics, Springer, vol. 67(5), pages 2039-2076, November.
    7. Hao, Xianfeng & Zhao, Yuyang & Wang, Yudong, 2020. "Forecasting the real prices of crude oil using robust regression models with regularization constraints," Energy Economics, Elsevier, vol. 86(C).
    8. Nyakundi M. Michieka & Richard S. Gearhart & Noha A. Razek, 2024. "Oil Price Dynamics and Housing Demand in Oil Producing Counties in the U.S," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 483-512, June.
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    11. Afees A. Salisu & Rangan Gupta, 2021. "How Do Housing Returns in Emerging Countries Respond to Oil Shocks? A MIDAS Touch," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4286-4311, December.
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    More about this item

    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • 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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