Quarterly Forecasting of Meat Retail Prices: A Vector Autoregression Approach

Howard Elitzak and W. Noel Blisard

No 278232, Staff Reports from United States Department of Agriculture, Economic Research Service

Abstract: 6ector autore ression models are used to forecast five meat and fish Consumer Price Indexes.J A price markup model is employed as the underlying model specification. Two different approaches are used to estimate the models. The ability of each model to produce reliable forecasts was tested by means of three forecast simulations. Theil's U2 coefficient, root mean square errors, and turning point accuracy are used to evaluate the forecasting results. The analysis suggests that the estimated equations are useful for forecasts made one quarter into the future.

Keywords: Demand and Price Analysis; Livestock Production/Industries (search for similar items in EconPapers)
Pages: 20
Date: 1989-06
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/278232/files/ers-report-406.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:uerssr:278232

DOI: 10.22004/ag.econ.278232

Access Statistics for this paper

More papers in Staff Reports from United States Department of Agriculture, Economic Research Service Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().