Predicting Pork Supplies: An Application of Multiple Forecast Encompassing
| dc.creator | Sanders, Dwight R. | |
| dc.creator | Manfredo, Mark R. | |
| dc.date | 2017-04-01T19:39:08Z | |
| dc.date.accessioned | 2026-07-09T04:32:41Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.43451 | |
| dc.identifier | https://ageconsearch.umn.edu/record/43451/files/Sanders%20JAAE%20December%202004.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/43451 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/551471 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/43451 | |
| dc.title | Predicting Pork Supplies: An Application of Multiple Forecast Encompassing | |
| dc.type | Text |