Predicting Pork Supplies: An Application of Multiple Forecast Encompassing

Conditional efficiency or forecast encompassing is tested among alternative pork production forecasts using the method proposed by Harvey and Newbold. One-, two-, and three-quarter ahead pork production forecasts made by the United States Department of Agriculture (USDA), the University of Illinois and Purdue University Cooperative Extension Service, and those produced by a univariate time series model are evaluated. The encompassing tests provide considerably more information about forecast performance than a simple pair-wise test for equality of mean squared errors. The results suggest that at a one-quarter horizon, the Extension service forecasts encompass the competitors, but at longer horizon, a composite forecast may provide greater accuracy.


Issue Date:
2004-12
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/43451
Published in:
Journal of Agricultural and Applied Economics, Volume 36, Number 3
Page range:
605-615
Total Pages:
11
JEL Codes:
C53; Q13




 Record created 2017-04-01, last modified 2017-08-25

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