Farmgate, Processor, and Consumer Price Transmissions in the Wheat Sector
| dc.creator | Babula, Ronald A. | |
| dc.creator | Bessler, David A. | |
| dc.date | 2017-04-01T14:02:09Z | |
| dc.date.accessioned | 2026-07-09T06:40:25Z | |
| dc.description | Time series techniques (vector autoregression or VAR) are employed to model a three-price dynamic system of the farmgate, processor, and consumer prices of wheat-related goods. An increase (presumably drought-induced) in farmgate wheat price is simulated to determine impacts on processor and consumer prices in the wheat sector. Several findings emerge. First, the increase in farm wheat price (PF-increase) may be expected to immediately generate processor price increases which are statistically significant for almost a year. Second, the PF-increase is expected to generate wheat-related consumer price increases, which are most significant for 22 months. Consumer price increases of wheat-related goods are expected to peak in strength at about the 8-month point following the PF-increase. And third, the consumer price increases are expected to be more gradual, less acute, but of longer duration than the processor price rises. | |
| dc.identifier | doi:10.22004/ag.econ.138802 | |
| dc.identifier | https://ageconsearch.umn.edu/record/138802/files/5Babula_41_3.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/138802 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/579434 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/138802 | |
| dc.title | Farmgate, Processor, and Consumer Price Transmissions in the Wheat Sector | |
| dc.type | Text |