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The Effects of Oil Supply and Demand Shocks on U.S. Consumer Sentiment

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  • JOCHEN H. F. GÜNTNER
  • KATHARINA LINSBAUER

Abstract

This paper investigates how the University of Michigan's Index of Consumer Sentiment responds to oil price shocks. While oil supply shocks play only a limited role, the effect of aggregate demand shocks is positive for the first few months and negative thereafter. A typical other oil demand shock has a significant negative impact for up to 2 years. By studying the responses of individual survey questions, we find that expectations of future inflation and a change in real household income as well as perceived vehicle and house buying conditions are the main transmission channels of oil supply and demand shocks.

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  • Jochen H. F. Güntner & Katharina Linsbauer, 2018. "The Effects of Oil Supply and Demand Shocks on U.S. Consumer Sentiment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1617-1644, October.
    • Handle: RePEc:wly:jmoncb:v:50:y:2018:i:7:p:1617-1644
    DOI: 10.1111/jmcb.12512
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    Cited by:

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    3. He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
    4. Peng Li & Yaofu Ouyang, 2023. "Oil price shocks and China’s consumer and entrepreneur sentiment: a Bayesian structural VAR approach," Empirical Economics, Springer, vol. 65(5), pages 2241-2271, November.
    5. Sek, Siok Kun, 2019. "Unveiling the factors of oil versus non-oil sources in affecting the global commodity prices: A combination of threshold and asymmetric modeling approach," Energy, Elsevier, vol. 176(C), pages 272-280.
    6. Chen, Shiu-Sheng & Huang, Shiangtsz & Lin, Tzu-Yu, 2022. "How do oil prices affect emerging market sovereign bond spreads?," Journal of International Money and Finance, Elsevier, vol. 128(C).
    7. Liu, Dandan & Wang, Qiaoyu & Yan, Karen Xueqing, 2022. "Oil supply news shock and Chinese economy," China Economic Review, Elsevier, vol. 73(C).
    8. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    9. Zhaobo Zhu & Licheng Sun & Jun Tu & Qiang Ji, 2022. "Oil price shocks and stock market anomalies," Financial Management, Financial Management Association International, vol. 51(2), pages 573-612, June.
    10. Zeina Alsalman, 2023. "Oil price shocks and US unemployment: evidence from disentangling the duration of unemployment spells in the labor market," Empirical Economics, Springer, vol. 65(1), pages 479-511, July.
    11. Geiger, Martin & Scharler, Johann, 2019. "How do consumers assess the macroeconomic effects of oil price fluctuations? Evidence from U.S. survey data," Journal of Macroeconomics, Elsevier, vol. 62(C).
    12. Huang, Wanling & Mollick, Andre Varella, 2020. "Tight oil, real WTI prices and U.S. stock returns," Energy Economics, Elsevier, vol. 85(C).
    13. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2024. "Seeking a shock haven: Hedging extreme upward oil price changes," International Review of Financial Analysis, Elsevier, vol. 94(C).
    14. Zeina Alsalman, 2021. "Does the source of oil supply shock matter in explaining the behavior of U.S. consumer spending and sentiment?," Empirical Economics, Springer, vol. 61(3), pages 1491-1518, September.
    15. Zhu, Zhaobo & Ji, Qiang & Sun, Licheng & Zhai, Pengxiang, 2020. "Oil price shocks, investor sentiment, and asset pricing anomalies in the oil and gas industry," International Review of Financial Analysis, Elsevier, vol. 70(C).
    16. Čižmešija Mirjana & Lukač Zrinka & Novoselec Tomislav, 2019. "Nonlinear optimisation approach to proposing novel Croatian Industrial Confidence Indicator," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 5(2), pages 17-26, December.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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