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Crude-oil price volatility and agricultural employment in the USA

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  • Uri, Noel D.

Abstract

This study begins by asking whether fluctuations in the price of crude oil have affected agricultural employment in the USA. After reviewing previous assessments of the issue, the existence of an empirical relationship between agricultural employment and crude-oil price volatility is established using Granger causality. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impacts of a percentage change in the real price of crude oil on the change in agricultural employment are exhausted. Finally, the structural stability of the functional relationship between the change in agricultural employment and the volatility of the price of crude oil, the percentage changes in expected net farm income, realized technological innovation, and the wage rate are examined.

Suggested Citation

  • Uri, Noel D., 1996. "Crude-oil price volatility and agricultural employment in the USA," Applied Energy, Elsevier, vol. 54(4), pages 355-373, August.
    • Handle: RePEc:eee:appene:v:54:y:1996:i:4:p:355-373
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    Cited by:

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    3. Ji, Qiang & Guo, Jian-Feng, 2015. "Oil price volatility and oil-related events: An Internet concern study perspective," Applied Energy, Elsevier, vol. 137(C), pages 256-264.
    4. Soytas, Ugur & Oran, Adil, 2011. "Volatility spillover from world oil spot markets to aggregate and electricity stock index returns in Turkey," Applied Energy, Elsevier, vol. 88(1), pages 354-360, January.
    5. Isiaka Akande Raifu & Alarudeen Aminu & Abiodun O. Folawewo, 2020. "Investigating the relationship between changes in oil prices and unemployment rate in Nigeria: linear and nonlinear autoregressive distributed lag approaches," Future Business Journal, Springer, vol. 6(1), pages 1-18, December.
    6. Chen, Hao & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2016. "Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models," Energy Economics, Elsevier, vol. 57(C), pages 42-49.
    7. Li, Qiming & Cheng, Ke & Yang, Xiaoguang, 2017. "Response pattern of stock returns to international oil price shocks: From the perspective of China’s oil industrial chain," Applied Energy, Elsevier, vol. 185(P2), pages 1821-1831.
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    9. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.

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