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

  1. David Ubilava

Article first published online: 10 APR 2012

DOI: 10.1002/agr.20292

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Agribusiness

Agribusiness

Volume 28, Issue 1, pages 29–41, Winter 2012

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Ubilava, D. (2012), Modeling Nonlinearities in the U.S. Soybean-to-Corn Price Ratio: A Smooth Transition Autoregression Approach. Agribusiness, 28: 29–41. doi: 10.1002/agr.20292

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  1. Issue published online: 10 APR 2012
  2. Article first published online: 10 APR 2012

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REFERENCES

  • Anderson, J., & Coble, K. (2010). Impact of renewable fuels standard ethanol mandates on the corn market. Agribusiness, 26(1), 49–63.
    Direct Link:
  • Bacon, D., & Watts, D. (1971). Estimating the transition between two intersecting straight lines. Biometrika, 58(3), 525–534.
  • Balagtas, J., & Holt, M. (2009). The commodity terms of trade, unit roots, and nonlinear alternatives: A smooth transition approach. American Journal of Agricultural Economics, 91(1), 87–105.
    Direct Link:
  • Balke, N., & Fomby, T. (1997). Threshold cointegration. International Economic Review, 38(3), 627–645.
  • Beckman, J., Keeney, R., & Tyner, W. (2010). Feed demands and coproduct substitution in the biofuel era. Agribusiness, 27(1), 1–18.
    Direct Link:
  • Carter, C., & Smith, A. (2007). Estimating the market effect of a food scare: The case of genetically modified starlink corn. The Review of Economics and Statistics, 89(3), 522–533.
  • Chavas, J.P., & Holt, M.T. (1990). Acreage decisions under risk: The case of corn and soybeans. American Journal of Agricultural Economics, 72(3), 529–538.
  • Chavas, J.P., & Holt, M.T. (1991). On nonlinear dynamics: The case of the pork cycle. American Journal of Agricultural Economics, 73(3), 819–828.
  • Chen, P., & Lee, C. (2008). Nonlinear adjustments in deviations from the law of one price for wholesale hog prices. Agricultural Economics, 39(1), 123–134.
    Direct Link:
  • Choi, J.S., & Helmberger, P.G. (1993). How sensitive are crop yields to price changes and farm programs? Journal of Agricultural and Applied Economics, 25, 237–244.
  • Davies, R. (1987). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika, 74(1), 33–43.
  • de Gorter, H., Nielson,D., & Rausser, G. (1992). Productive and predatory public policies: Research expenditures and producer subsidies in agriculture. American Journal of Agricultural Economics, 74(1), 27–37.
  • Du, X., & Hennessy, D. (2008). The planting real option in cash rent valuation (Working Paper 08-WP 463). Ames, IA: Iowa State University, Center for Agricultural and Rural Development.
  • Eidman, V. (2007). Economic parameters for corn ethanol and biodiesel production. Journal of Agricultural and Applied Economics, 39(2), 345–356.
  • Eitrheim, O., & Terasvirta, T. (1996). Testing the adequacy of smooth transition autoregressive models. Journal of Econometrics, 74(1), 59–75.
  • Gardner, B. (2007). Fuel ethanol subsidies and farm price support. Journal of Agricultural & Food Industrial Organization, 5(2), Article 4.
  • Goodwin, B., Holt, M., & Prestemon, J. (2011). North American oriented strand board markets, arbitrage activity, and market price dynamics: A smooth transition approach. American Journal of Agricultural Economics, 93(4), 993–1014.
  • Goodwin, B., & Mishra, A. (2006). Are decoupled farm program payments really decoupled? An empirical evaluation. American Journal of Agricultural Economics, 88(1), 73–89.
    Direct Link:
  • Goodwin, B., Schnepf, R., & Dohlman, E. (2005). Modelling soybean prices in a changing policy environment. Applied Economics, 37(3), 253–263.
  • Hall, A., Skalin, J., & Terasvirta T. (2001). A nonlinear time series model of El Nino. Environmental Modelling and Software, 16(2), 139–146.
  • Hamilton, J.D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), 357–384.
  • Holt, M. (1992). A multimarket bounded price variation model under rational expectations: Corn and soybeans in the United States. American Journal of Agricultural Economics, 74(1), 10–20.
  • Holt, M.T., & Craig, L.A. (2006). Nonlinear dynamics and structural change in the U.S. hog—corn cycle: A time-varying STAR approach. American Journal of Agricultural Economics, 88(1), 215–233.
    Direct Link:
  • Irwin, S., & Good, D. (2009). Market instability in a new era of corn, soybean, and wheat prices. Choices, 24(1), 6–11.
  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2/3), 231–254.
  • Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210.
    Direct Link:
  • Koop, G., Pesaran, M., & Potter, S. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74(1), 119–147.
  • Kuan, C.-M., & White, H. (1994). Artificial neural networks: An econometric perspective. Econometric Reviews, 13(1), 93–97.
  • Lin, W., & Dismukes, R. (2007). Supply response under risk: Implications for counter-cyclical payments’ production impact. Applied Economic Perspectives and Policy, 29(1), 64–86.
  • Lin, W., & Riley, P. (1998). Rethinking the soybeans-to-corn price ratio: Is it still a good indicator for planting decisions? Feed Situation and Outlook Yearbook FDS-1998. Washington, DC: U.S. Department of Agriculture, Economic Research Service.
  • Luukkonen, R., Saikkonen, P., & Terasvirta, T. (1988). Testing linearity against smooth transition autoregressive models. Biometrika, 75(3), 491–499.
  • Mainardi, S. (2001). Limited arbitrage in international wheat markets: Threshold and smooth transition cointegration. The Australian Journal of Agricultural and Resource Economics, 45(3), 335–360.
    Direct Link:
  • McKenzie, A. (2008). Pre-harvest price expectations for corn: The information content of USDA reports and new crop futures. American Journal of Agricultural Economics, 90(2), 351–366.
    Direct Link:
  • Reitz, S., & Westerhoff, F. (2007). Commodity price cycles and heterogeneous speculators: A STAR-GARCH model. Empirical Economics, 33(2), 231–244.
  • Sarantis, N. (1999). Modeling non-linearities in real effective exchange rates. Journal of International Money and Finance, 18(1), 27–45.
  • Shideed, K.H. & White, F.C. (1989). Alternative forms of price expectations in supply analysis for U.S. corn and soybean acreages. Western Journal of Agricultural Economics, 14(2), 281–292.
  • Skalin, J., & Terasvirta, T. (2002). Modeling asymmetries and moving equilibria in unemployment rates. Macroeconomic Dynamics, 6(2), 202–241.
  • Terasvirta, T. (1994). Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association, 89(425), 208–218.
  • Terasvirta, T. (1995). Modelling nonlinearity in U.S. gross national product 1889–1987. Empirical Economics, 20(4), 577–597.
  • Terasvirta, T., & Anderson, H. (1992). Characterizing nonlinearities in business cycles using smooth transition autoregressive models. Journal of Applied Econometrics, 7(S), 119–136.
    Direct Link:
  • Tong, H. (1990). Nonlinear time series: A dynamical system approach. New York: Oxford University Press.
  • Tsay, R. (1989). Testing and modeling threshold autoregressive processes. Journal of the American Statistical Association, 84(405), 231–240.
  • Tyner, W. (2010). The integration of energy and agricultural markets. Agricultural Economics, 41(s1), 193–201.
    Direct Link:
  • van Dijk, D., & Franses, P. (1999). Modeling multiple regimes in the business cycle. Macroeconomic Dynamics, 3(3), 311–340.
  • van Dijk, D., Terasvirta, T., & Franses, P. (2002). Smooth transition autoregressive models—a survey of recent developments. Econometric Reviews, 21(1), 1–47.
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