MODELING FLUID MILK SUPPLY AND DEMAND WITH PROJECTIONS TO 1985
Edward M. Rawson
No 10992, Graduate Research Master's Degree Plan B Papers from Michigan State University, Department of Agricultural, Food, and Resource Economics
Abstract:
The intent of this study is to develop a model which represents the supply and demand relationships for fluid milk in the United States in order to forecast farm prices and the level of milk production for 1975 and to make projections to 1985 of the domestic consumption of fluid milk. The concept of a polynomial lag formulation of milk production is combined with the use of gross margins in an attempt to more adequately reflect the impact of biological factors and other apriori information on production response to price changes. A literature review traces the work of other authors pertinent to the development of a methodology for this study, including some of the theoretical drawbacks to the use of polynomial lags. A section on methodology relates a brief description of the dairy industry to the choice of variables used to specify the demand and supply equations and the use of a polynomial (distributive) lag model fitted to time series data for the years 1953 to 1974. The results of the study and an interpretation of these results concludes the paper.
Keywords: Demand and Price Analysis; Livestock Production/Industries (search for similar items in EconPapers)
Pages: 39
Date: 1977
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/10992/files/pb77ra01.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:midagr:10992
DOI: 10.22004/ag.econ.10992
Access Statistics for this paper
More papers in Graduate Research Master's Degree Plan B Papers from Michigan State University, Department of Agricultural, Food, and Resource Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().