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The impact of disaggregated oil shocks on state-level real housing returns of the United States: The role of oil dependence

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  • Gupta, Rangan
  • Sheng, Xin
  • van Eyden, Reneé
  • Wohar, Mark E.

Abstract

We analyse the impact of oil supply, global economic activity, oil-specific consumption demand and oil inventory demand shocks on state-level real housing returns of the United States (US) over the monthly period of 1975:02 to 2019:12. We find that positive economic activity shocks and oil production shocks (associated with increase and decrease in oil prices respectively) increase real housing returns. At the same time, oil-specific consumption and inventory demand shocks raise oil prices and reduce the state-level real housing returns. Moreover, across the shocks, the strongest effect originates from the global demand shock. In addition, the degree of oil dependency (oil consumed minus oil produced as a ratio of oil consumed) does not change the nature of the impact of the four oil shocks on real housing returns drastically, but the size of the effects is relatively muted under low-oil dependence, barring the case of the oil inventory demand shock. Our results have important policy implications.

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  • Gupta, Rangan & Sheng, Xin & van Eyden, Reneé & Wohar, Mark E., 2021. "The impact of disaggregated oil shocks on state-level real housing returns of the United States: The role of oil dependence," Finance Research Letters, Elsevier, vol. 43(C).
    • Handle: RePEc:eee:finlet:v:43:y:2021:i:c:s1544612321001100
    DOI: 10.1016/j.frl.2021.102029
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    1. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    2. Valerie Grossman & Enrique Martínez-García & Luis Bernardo Torres & Yongzhi Sunc, 2019. "Drilling Down: The Impact of Oil Price Shocks on Housing Prices," The Energy Journal, , vol. 40(2_suppl), pages 59-84, December.
    3. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2020. "The effects of quasi-random monetary experiments," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 22-40.
    4. Gupta, Rangan & Wohar, Mark, 2017. "Forecasting oil and stock returns with a Qual VAR using over 150years off data," Energy Economics, Elsevier, vol. 62(C), pages 181-186.
    5. Christiane Baumeister & Gert Peersman & Ine Van Robays, 2010. "The Economic Consequences of Oil Shocks: Differences across Countries and Time," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    6. Rangan Gupta & Xin Sheng & Reneé van Eyden & Mark Wohar, 2021. "The impact of disaggregated oil shocks on state-level consumption of the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1818-1824, December.
    7. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    8. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Housing and the Great Depression," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2966-2981, August.
    9. Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
    10. Andrea De Michelis & Thiago Ferreira & Matteo Iacoviello, 2020. "Oil Prices and Consumption across Countries and U.S. States," International Journal of Central Banking, International Journal of Central Banking, vol. 16(2), pages 3-43, March.
    11. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.
    12. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Clement Kweku Kyei, 2021. "High-Frequency Predictability of Housing Market Movements of the United States: The Role of Economic Sentiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 490-498, October.
    13. Nikolaos Antonakakis & Rangan Gupta & John W. Muteba Mwamba, 2016. "Dynamic Comovements Between Housing and Oil Markets in the US over 1859 to 2013: a Note," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 377-386, September.
    14. Rangan Gupta & Xin Sheng & Qiang Ji, 2021. "Movements in real estate uncertainty in the United States: the role of oil shocks," Applied Economics Letters, Taylor & Francis Journals, vol. 28(13), pages 1059-1065, July.
    15. Chan, Kam Fong & Treepongkaruna, Sirimon & Brooks, Robert & Gray, Stephen, 2011. "Asset market linkages: Evidence from financial, commodity and real estate assets," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1415-1426, June.
    16. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    17. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    18. Nazlioglu, Saban & Gupta, Rangan & Gormus, Alper & Soytas, Ugur, 2020. "Price and volatility linkages between international REITs and oil markets," Energy Economics, Elsevier, vol. 88(C).
    19. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    20. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2021. "House price synchronization across the US states: The role of structural oil shocks," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    21. Agnello, Luca & Castro, Vitor & Hammoudeh, Shawkat & Sousa, Ricardo M., 2017. "Spillovers from the oil sector to the housing market cycle," Energy Economics, Elsevier, vol. 61(C), pages 209-220.
    22. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    23. Martin Bodenstein & Luca Guerrieri & Lutz Kilian, 2012. "Monetary Policy Responses to Oil Price Fluctuations," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(4), pages 470-504, December.
    24. Breitenfellner, Andreas & Crespo Cuaresma, Jesús & Mayer, Philipp, 2015. "Energy inflation and house price corrections," Energy Economics, Elsevier, vol. 48(C), pages 109-116.
    25. Goodness C. Aye & Matthew W. Clance & Rangan Gupta, 2019. "The Effect of Economic Uncertainty on the Housing Market Cycle," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 25(1), pages 67-75, January.
    26. Ali Anari & James Kolari, 2002. "House Prices and Inflation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(1), pages 67-84.
    27. Bonato, Matteo, 2019. "Realized correlations, betas and volatility spillover in the agricultural commodity market: What has changed?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 184-202.
    28. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    29. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2017. "Do leading indicators forecast U.S. recessions? A nonlinear re†evaluation using historical data," International Finance, Wiley Blackwell, vol. 20(3), pages 289-316, December.
    30. Killins, Robert N. & Egly, Peter V. & Escobari, Diego, 2017. "The impact of oil shocks on the housing market: Evidence from Canada and U.S," Journal of Economics and Business, Elsevier, vol. 93(C), pages 15-28.
    31. Edward E. Leamer, 2015. "Housing Really Is the Business Cycle: What Survives the Lessons of 2008–09?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 43-50, March.
    32. 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.
    33. Furkan Emirmahmutoglu & Mehmet Balcilar & Nicholas Apergis & Beatrice D. Simo-Kengne & Tsangyao Chang & Rangan Gupta, 2014. "Causal relationship between asset prices and output in the US: Evidence from state-level panel Granger causality test," Working Papers 201411, University of Pretoria, Department of Economics.
    34. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
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    Cited by:

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    2. Hanif, Waqas & Andraz, Jorge Miguel & Gubareva, Mariya & Teplova, Tamara, 2024. "Are REITS hedge or safe haven against oil price fall?," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1-16.
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    4. Stenvall, David & Hedström, Axel & Yoshino, Naoyuki & Uddin, Gazi Salah & Taghizadeh-Hesary, Farhad, 2022. "Nonlinear tail dependence between the housing and energy markets," Energy Economics, Elsevier, vol. 106(C).

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    More about this item

    Keywords

    Oil shocks; State-level real housing returns; Oil dependency; Local projection model; Impulse response functions;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • 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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