Enso And Soybean Prices: Correlation Without Causality
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Abstract
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DOI: 10.22004/ag.econ.15443
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- Letson, David & McCullough, B.D., 2001. "ENSO and Soybean Prices: Correlation without Causality," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(3), pages 513-521, December.
References listed on IDEAS
- Geweke, John, 1984. "Inference and causality in economic time series models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 19, pages 1101-1144, Elsevier.
- McCullough, B. D., 1997. "An analysis of stock market transactions data," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 887-903.
- Granger, C. W. J., 1988. "Causality, cointegration, and control," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 551-559.
Citations
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Cited by:
- Massimo Peri, 2017. "Climate variability and the volatility of global maize and soybean prices," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 673-683, August.
- Ubilava, David & holt, Matt, 2013.
"El Ni~no southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models,"
Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 1-25.
- David Ubilava & Matt Holt, 2013. "El Niño southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 273-297, April.
- Ubilava, David & Holt, Matthew T., 2009. "Nonlinearities in the World Vegetable Oil Price System: El Nino Effects," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49360, Agricultural and Applied Economics Association.
- Peri, Massimo, 2015. "Cliamte Variability and Agricultural Price volatility: the case of corn and soybeans," 2015 Conference, August 9-14, 2015, Milan, Italy 212623, International Association of Agricultural Economists.
- Thanarak Laosuthi & David D. Selover, 2007. "Does El Nino Affect Business Cycles," Eastern Economic Journal, Eastern Economic Association, vol. 33(1), pages 21-42, Winter.
- David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
- Marie, Kimberly & Solis, Daniel & Thomas, Michael & Alvarez, Sergio, 2016. "Does Climate Variability Affect the Financial Sustainability of Farmers in Florida? A Causality Analysis," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229596, Southern Agricultural Economics Association.
- Lotanna E. Emediegwu, 2024. "Assessing the Asymmetric Effect of Global Climate Anomalies on Food Prices: Evidence from Local Prices," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(10), pages 2743-2772, October.
- Emediegwu, Lotanna Ernest, 2023. "Assessing the (a)symmetric effect of global climate anomalies on food prices: Evidence from local prices," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334555, Agricultural Economics Society - AES.
- Fujin Yi & Mengfei Zhou & Yu Yvette Zhang, 2020. "Value of Incorporating ENSO Forecast in Crop Insurance Programs," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 439-457, March.
- Bert, Federico E. & Satorre, Emilio H. & Toranzo, Fernando Ruiz & Podesta, Guillermo P., 2006. "Climatic information and decision-making in maize crop production systems of the Argentinean Pampas," Agricultural Systems, Elsevier, vol. 88(2-3), pages 180-204, June.
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More about this item
Keywords
Resource/Energy Economics and Policy;JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
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