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Oil Prices and Urban Housing Demand

Author

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  • William D. Larson

    (Federal Housing Finance Agency)

  • Weihua Zhao

    (University of Lousiville)

Abstract

We develop a model of a monocentric, oil-exporting city. The model predicts a "twist" (rotation combined with a level shift) of the house price gradient with an oil price change due to the combined producer price and transportation cost effects. Using ZIP code level house price indices between 1975 and 2015, we show the slope of the house price gradient steepens in all cities when the price of oil is high and flattens when the price of oil is low. Areas specialized in oil and gas-related industries have house price changes that are positively linked with the price of oil. These results are consistent with theoretical predictions, and they quantify the large and differential risks to house prices associated with oil price changes both within and across all cities.

Suggested Citation

  • William D. Larson & Weihua Zhao, 2016. "Oil Prices and Urban Housing Demand," FHFA Staff Working Papers 16-03, Federal Housing Finance Agency.
    • Handle: RePEc:hfa:wpaper:16-03
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    Cited by:

    1. Zheng Zheng Li & Chi-Wei Su, 2023. "How does real estate market react to the iron ore boom in Australian capital cities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 517-537, October.
    2. William D. Larson & Weihua Zhao, 2020. "Oil Prices and Urban Housing Demand," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 808-849, September.
    3. Johannes Strobel & Binh Nguyen Thanh & Gabriel Lee, 2020. "Effects of Macroeconomic Uncertainty and Labor Demand Shocks on the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(2), pages 345-372, June.
    4. 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.
    5. Daniel A. Broxterman & William D. Larson, 2020. "An empirical examination of shift‐share instruments," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 677-711, September.
    6. Morris, Adele C. & Neill, Helen R. & Coulson, N. Edward, 2020. "Housing supply elasticity, gasoline prices, and residential property values," Journal of Housing Economics, Elsevier, vol. 48(C).
    7. Jin, Yi & Liu, Sinuo & Sun, Yongping & Fang, Jie, 2024. "Energy transition and housing market bubbles: Evidence from prefecture cities in China," Energy Economics, Elsevier, vol. 133(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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    More about this item

    Keywords

    transportation cost; gasoline price; industrial specialization; input-output model; economic base model;
    All these keywords.

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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