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A Recursive Model of the Hog Industry

Author

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  • Harlow, Arthur A.

Abstract

There are a number of estimation methods available to the econometrician. They range in complexity from least squares, which takes only a few minutes with pencil and paper for a simple problem, to full information maximum likelihood, which requires a large-capacity electronic computer for effective application. A list of the common methods, given in order of increasing complexity, includes least squares, two-stage least squares, instrumental variables, limited information, and full information. Recursive systems are fitted by least squares which makes estimation relatively simple, and they have other desirable statistical properties. Following a brief discusssion of the special characteristics of recursive systems, this paper presents an application of the recursive method to an analysis of the hog industry. The author is indebted to Anthony S. Rojko and Hyman Weingarten of the Economic Research Service for their helpful suggestions during the preparation of this paper.

Suggested Citation

  • Harlow, Arthur A., 1962. "A Recursive Model of the Hog Industry," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 14(1), pages 1-12, January.
    • Handle: RePEc:ags:uersja:145794
    DOI: 10.22004/ag.econ.145794
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    Cited by:

    1. Eswaramoorthy, K., 1991. "U.S. livestock production and factor demand: a multiproduct dynamic dual approach," ISU General Staff Papers 1991010108000010523, Iowa State University, Department of Economics.
    2. Skold, Karl Durwood, 1989. "The integration of alternative information systems: an application to the Hogs and Pigs report," ISU General Staff Papers 1989010108000010239, Iowa State University, Department of Economics.

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