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Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach

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  • David Ubilava

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  • David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    • Handle: RePEc:wly:agribz:v:28:y:2012:i:1:p:29-41
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    1. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    2. Stefan Reitz & Frank Westerhoff, 2007. "Commodity price cycles and heterogeneous speculators: a STAR–GARCH model," Empirical Economics, Springer, vol. 33(2), pages 231-244, September.
    3. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    4. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    5. Xiaodong Du & David A. Hennessy, 2012. "The planting real option in cash rent valuation," Applied Economics, Taylor & Francis Journals, vol. 44(6), pages 765-776, February.
    6. Eidman, Vernon R., 2007. "Economic Parameters for Corn Ethanol and Biodiesel Production," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 39(2), pages 345-356, August.
    7. Carter, Colin A. & Smith, Aaron D., 2004. "The Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," Working Papers 11997, University of California, Davis, Department of Agricultural and Resource Economics.
    8. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    9. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    10. William Lin & Robert Dismukes, 2007. "Supply Response under Risk: Implications for Counter-Cyclical Payments' Production Impact," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(1), pages 64-86.
    11. Jean-Paul Chavas & Matthew T. Holt, 1990. "Acreage Decisions Under Risk: The Case of Corn and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 529-538.
    12. Pei‐Fen Chen & Chien‐Chiang Lee, 2008. "Nonlinear adjustments in deviations from the law of one price for wholesale hog prices," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 123-134, July.
    13. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    14. Gorter, H. de & Nielson, D. & Rausser, Gordon C., 1992. "Productive and Predatory Public Policies," Staff General Research Papers Archive 732, Iowa State University, Department of Economics.
    15. Barry Goodwin & Randy Schnepf & Erik Dohlman, 2005. "Modelling soybean prices in a changing policy environment," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 253-263.
    16. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    17. Dijk, Dick van & Franses, Philip Hans, 1999. "Modeling Multiple Regimes in the Business Cycle," Macroeconomic Dynamics, Cambridge University Press, vol. 3(3), pages 311-340, September.
    18. John D. Anderson & Keith H. Coble, 2010. "Impact of renewable fuels standard ethanol mandates on the corn market," Agribusiness, John Wiley & Sons, Ltd., vol. 26(1), pages 49-63.
    19. Matthew T. Holt, 1992. "A Multimarket Bounded Price Variation Model under Rational Expectations: Corn and Soybeans in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(1), pages 10-20.
    20. Hall, Anthony D. & Skalin, Joakim & Teräsvirta, Timo, 1998. "A nonlinear time series model of El Niño," SSE/EFI Working Paper Series in Economics and Finance 263, Stockholm School of Economics.
    21. Barry K. Goodwin & Matthew T. Holt & Jeffrey P. Prestemon, 2011. "North American Oriented Strand Board Markets, Arbitrage Activity, and Market Price Dynamics: A Smooth Transition Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 993-1014.
    22. Gardner Bruce, 2007. "Fuel Ethanol Subsidies and Farm Price Support," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(2), pages 1-22, December.
    23. Wallace E. Tyner, 2010. "The integration of energy and agricultural markets," Agricultural Economics, International Association of Agricultural Economists, vol. 41(s1), pages 193-201, November.
    24. Colin A. Carter & Aaron Smith, 2007. "Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 522-533, August.
    25. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    26. Mainardi, Stefano, 2001. "Limited arbitrage in international wheat markets: threshold and smooth transition cointegration," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(3), pages 1-26.
    27. Andrew M. McKenzie, 2008. "Pre-Harvest Price Expectations for Corn: The Information Content of USDA Reports and New Crop Futures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 351-366.
    28. Joseph V. Balagtas & Matthew T. Holt, 2009. "The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 87-105.
    29. Harry de Gorter & David J. Nielson & Gordon C. Rausser, 1992. "Productive and Predatory Public Policies: Research Expenditures and Producer Subsidies in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(1), pages 27-37.
    30. Skalin, Joakim & Teräsvirta, Timo, 2002. "Modeling Asymmetries And Moving Equilibria In Unemployment Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 6(2), pages 202-241, April.
    31. Matthew T. Holt & Lee A. Craig, 2006. "Nonlinear Dynamics and Structural Change in the U.S. Hog—Corn Cycle: A Time-Varying STAR Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 215-233.
    32. Sarantis, Nicholas, 1999. "Modeling non-linearities in real effective exchange rates," Journal of International Money and Finance, Elsevier, vol. 18(1), pages 27-45, January.
    33. Barry K. Goodwin & Ashok K. Mishra, 2006. "Are “Decoupled” Farm Program Payments Really Decoupled? An Empirical Evaluation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 73-89.
    34. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive Are Crop Yields To Price Changes And Farm Programs?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 25(1), pages 1-8, July.
    35. Irwin, Scott H. & Good, Darrel L., 2009. "Market Instability in a New Era of Corn, Soybean, and Wheat Prices," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 24(1), pages 1-6.
    36. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive are Crop Yields to Price Changes and Farm Programs?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 25(1), pages 237-244, July.
    37. Jean-Paul Chavas & Matthew T. Holt, 1991. "On Nonlinear Dynamics: The Case of the Pork Cycle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 819-828.
    38. Shideed, Kamil H. & White, Fred C., 1989. "Alternative Forms Of Price Expectations In Supply Analysis For U.S. Corn And Soybean Acreages," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(2), pages 1-12, December.
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    2. 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.
    3. 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.
    4. María Lucía Martínez Martínez, 2021. "Efectos de precipitaciones en precios de la leche usando modelos con umbrales según la estructura del mercado," Documentos Departamento de Economía 20752, Universidad del Norte.
    5. Ubilava, David, 2013. "El Niño Southern Oscillation and Primary Agricultural Commodity Prices: Causal Inferences from Smooth Transition Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152202, Australian Agricultural and Resource Economics Society.
    6. Daniel Parra-Amado & Davinson Stev Abril-Salcedo & Luis Fernando Melo-Velandia, 2016. "Impactos de los fenómenos climáticos sobre el precio de los alimentos en Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 34(80), pages 146-158, June.
    7. Davinson Stev Abril‐Salcedo & Luis Fernando Melo‐Velandia & Daniel Parra‐Amado, 2020. "Nonlinear relationship between the weather phenomenon El niño and Colombian food prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1059-1086, October.
    8. Fabio Gaetano Santeramo, 2015. "Price Transmission in the European Tomatoes and Cauliflowers Sectors," Agribusiness, John Wiley & Sons, Ltd., vol. 31(3), pages 399-413, June.
    9. Kurmas Akdogan, 2018. "Mean-reversion and structural change in European food prices," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 18(4), pages 163-173.
    10. 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.
    11. Lee, Yunkyung & Giannakas, Konstantinos, 2020. "System-wide market and welfare effects of a U.S. sugar-sweetened beverages tax," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304297, Agricultural and Applied Economics Association.
    12. Pede, Valerien O. & Valera, Harold Glenn A. & Alam, Mohammad Jahangir & McKenzie, Andrew M., 2013. "Nonlinearities in Regional Rice Prices in the Philippines: Evidence from a Smooth Transition Autoregressive (STAR) Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150246, Agricultural and Applied Economics Association.
    13. Atems, Bebonchu & Sardar, Naafey, 2021. "Exploring asymmetries in the effects of El Niño-Southern Oscillation on U.S. food and agricultural stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 1-14.
    14. David Ubilava, 2014. "El Niño Southern Oscillation and the fishmeal–soya bean meal price ratio: regime-dependent dynamics revisited," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(4), pages 583-604.
    15. Valeria Bejarano-Salcedo & Juan Manuel Julio-Román & Edgar Caicedo-García & Julián Alonso Cárdenas-Cárdenas, 2020. "Entendiendo, Modelando y Pronosticando el Efecto de “El Niño” Sobre los Precios de los Alimentos: El Caso Colombiano," Borradores de Economia 1102, Banco de la Republica de Colombia.

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