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An Evaluation of Market Order Grade Changes Using Covariance Analysis*

Published online by Cambridge University Press:  28 April 2015

John P. Nichols
John P. Nichols*
Affiliation:
Texas A&M University
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Extract

Market orders authorized under both State and Federal legislation have long been employed to regulate the marketing of many agricultural products, especially fruits and vegetables. While their purposes vary and controls provided for differ, one provision that is common to a large number of orders allows the establishment of minimum standards of grade, maturity, or other characteristics of quality in the marketing of an agricultural commodity. These standards are usually set by the marketing order committee composed of producer and shipper members of the industry, subject to the approval of the Secretary of Agriculture.

Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 4 , Issue 1 , July 1972 , pp. 107 - 111
Copyright
Copyright © Southern Agricultural Economics Association 1972

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Footnotes

*

Texas Agr. Exp. Sta. Technical Article No. 9480

References

[1]Ben-David, Shaul and Tomek, William, Allowing for Slope and Intercept Changes in Regression Analysis, Cornell University Agr. Economics Research Report No. 179, Nov. 1965.Google Scholar
[2]Connolly, Chan, “Projected Citrus Supply For Rio Grande Valley, Texas; Seven Year Period, 1968-69 to 1974-75,” Journal ofthe Rio Grande Valley Horticultural Society, 23: 18–23, 1969.Google Scholar
[3]Sappington, Charles, “A Numerical Example of the Practical Use of Dummy Variables,” Southern Journal of Agricultural Economics, 2: 197–201, Dec. 1970.Google Scholar
[4]Suits, Daniel B., “Use of Dummy Variables in Regression Equations,” American Statistical Association Journal, 52: 548–551, Dec. 1957.CrossRefGoogle Scholar
[5]Tomek, William G., “Using Zero-One Variables with Time Series Data in Regression Equations,” Journal of Farm Economics, 45: 814–822, Nov. 1963.CrossRefGoogle Scholar
[6]U. S. Department of Agriculture, Consumer Marketing Service, Fruit and Vegetable Division, Fresh Fruit and Vegetable Unload Totals for 41 cities, 1965-1969.Google Scholar