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Do Global Crude Oil Market Shocks Have Differential Effects On Us Regions?

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  • Atems, Bebonchu
  • Melichar, Mark

Abstract

The paper investigates whether US regions respond differently to shocks in the crude oil market. We disentangle oil market shocks into distinct demand and supply shocks and examine the response of regional personal income to these shocks. Results indicate that for most regions, oil supply shocks decrease real personal income. Except for the Rocky Mountains and the Southwest, global aggregate demand shocks are recessionary, typically about a year and a half after the shock. When we split our data into oil-producing and non-oil-producing regions, we find that global aggregate demand shocks have no effect on oil-producing regions but cause a decrease in income in non-oil-producing regions. Our analysis further indicates that oil-specific demand shocks have positive and persistent impacts on oil-producing regions but are recessionary in non-oil-producing regions. We also document significant asymmetries in the regional responses to small versus large oil shocks. In addition, the paper shows that regional differences in industrial composition explain some of the variation in the responses of real regional personal income to oil shocks.

Suggested Citation

  • Atems, Bebonchu & Melichar, Mark, 2019. "Do Global Crude Oil Market Shocks Have Differential Effects On Us Regions?," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1978-2008, July.
    • Handle: RePEc:cup:macdyn:v:23:y:2019:i:05:p:1978-2008_00
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    Cited by:

    1. Capitani, Daniel Henrique Dario & Gaio, Luiz Eduardo, 2023. "Volatility Transmissionin Agricultural Markets: Evidence from the Russia-Ukraine Conflict," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 11(2), April.
    2. Hung, Ngo Thai, 2021. "Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 73(C).
    3. Atems, Bebonchu & Mette, Jehu & Lin, Guoyu & Madraki, Golshan, 2023. "Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption," Energy Policy, Elsevier, vol. 173(C).
    4. Alexeev, Michael & Chih, Yao-Yu, 2021. "Energy price shocks and economic growth in the US: A state-level analysis," Energy Economics, Elsevier, vol. 98(C).
    5. Roberto Louis Forestal & Shih-Ming Pi, 2021. "Using Artificial Neural networks and Optimal Scaling Model to Forecast Agriculture Commodity Price: An Ecological-economic Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-3.
    6. Chang, Chiu-Lan & Fang, Ming, 2022. "The connectedness between natural resource commodities and stock market indices: Evidence from the Chinese economy," Resources Policy, Elsevier, vol. 78(C).
    7. 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).

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