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Dynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR

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  • No, Sung Chul
  • Salassi, Michael E.

Abstract

This study constructs a Bayesian VAR model of US rice prices, in conjunction with supply and demand functions. Various validation tests are conducted to examine whether or not the BVAR model satisfies its dual functionality: Providing a dynamic analysis of the effects of a price support program and generating reasonable short-term rice price forecasts.

Suggested Citation

  • No, Sung Chul & Salassi, Michael E., 2006. "Dynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35279, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeaso:35279
    DOI: 10.22004/ag.econ.35279
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    References listed on IDEAS

    as
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    4. Jean-Paul Chavas & Kwansoo Kim, 2004. "A Heteroskedastic Multivariate Tobit Analysis of Price Dynamics in the Presence of Price Floors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 576-593.
    5. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
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    7. Kim, Kwansoo & Chavas, Jean-Paul, 2002. "A Dynamic Analysis Of The Effects Of A Price Support Program On Price Dynamics And Price Volatility," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-20, December.
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    Keywords

    Agricultural and Food Policy;

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