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Agrekon
Agricultural Economics Research, Policy and Practice in Southern Africa
Volume 39, 2000 - Issue 4
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Contributed Papers

FORECASTING THE MARKET OUTLOOK FOR THE SOUTH AFRICAN MAIZE AND SORGHUM SECTOR USING ECONOMETRIC MODELLING

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Pages 607-619 | Published online: 07 May 2010

REFERENCES

  • Cleasby , R. C.G. , Darroch , M. A.G. and Ortmann , G. F. 1993 . Factors affecting the demand for and supply of South African yellow maize exports . Agrekon , 32 ( 1 ) : 1 – 5 .
  • Food and Agricultural Policy Research Institute . 1991 . The world feed grain trade model: Specification, estimation, and validation Unpublished Technical Report March. Food and Agricultural Organisation: Database, www.FAO.org.
  • International Monetary Fund(IMF) . International Financial Statistics Washington D.C. Various issue.
  • Johnston , J. 1984 . Econometric methods , New York : McGraw-Hill Book Company .
  • Kost , W. E. 1980 . Model validation and the net trade model 32 Agricultural Economics Research, (April).
  • National Department of Agriculture . Abstract of Agricultural Statistics Various issues.
  • Schimmelpfenning , D. , Thirtle , C. and Van Zyl , J. 1996 . Crop level supply response in South African agriculture: An error correction approach . Agrekon , 35 : 114 – 121 .
  • Van Zyl , J. 1991 . Research note: An analysis of the supply of maize in South Africa . Agrekon , 30 : 37 – 39 .
  • World Bank . 1995 . The South African agricultural sector: Past, present and future Series on Southern Africa, No. 4. Southern African Department, World Bank, Washington, D.C.

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