Dynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR
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DOI: 10.22004/ag.econ.35279
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- 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.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- Victor Zarnowitz, 1967. "An Appraisal of Short-Term Economic Forecasts," NBER Books, National Bureau of Economic Research, Inc, number zarn67-1, January.
- Francis X. Diebold & Jose A. Lopez, 1995.
"Forecast evaluation and combination,"
Research Paper
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.
- Bauwens, Luc & Lubrano, Michel & Richard, Jean-Francois, 2000. "Bayesian Inference in Dynamic Econometric Models," OUP Catalogue, Oxford University Press, number 9780198773139.
- 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.
- 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.
- 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.
- Christopher A. Sims & Tao Zha, 1996. "Bayesian methods for dynamic multivariate models," FRB Atlanta Working Paper 96-13, Federal Reserve Bank of Atlanta.
- 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(2), pages 1-19, August.
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