Dynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR
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.
|Date of creation:||2006|
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- Francis X. Diebold & Jose A. Lopez, 1995.
"Forecast evaluation and combination,"
9525, Federal Reserve Bank of New York.
- Francis X. Diebold & Jose A. Lopez, 1996. "Forecast Evaluation and Combination," NBER Technical Working Papers 0192, National Bureau of Economic Research, Inc.
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- 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.
- Goodwin, Barry K. & Schnepf, Randall D. & Dohlman, Erik, 2001. "Modeling Soybean Prices in a Changing Policy Environment," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18946, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- Bauwens, Luc & Lubrano, Michel & Richard, Jean-Francois, 2000. "Bayesian Inference in Dynamic Econometric Models," OUP Catalogue, Oxford University Press, number 9780198773139, April.
- 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.
- Sanders, Dwight R. & Manfredo, Mark R., 2003. "USDA Livestock Price Forecasts: A Comprehensive Evaluation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(02), August. Full references (including those not matched with items on IDEAS)
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