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An Evaluation of Different Ways of Projecting Farm Size Distributions

Published online by Cambridge University Press:  10 May 2017

C. T. K. Ching ,
J. P. Davulis  and
G. E. Frick
C. T. K. Ching
Affiliation:
University of Nevada, Reno
J. P. Davulis
Affiliation:
Institute of Natural and Environmental Resources, University of New Hampshire, Durham
G. E. Frick
Affiliation:
Commodity Economics Division, Economic Research Service, U.S. Department of Agriculture stationed at the University of New Hampshire
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Extract

Farris and Padberg, Krenz, and Boxley have discussed different ways of projecting the distribution of firm sizes. Farris and Padberg utilize Markov chain analysis where transition probabilities were derived from observed changes in firm size for Florida citrus packing firms over a five-year period. Krenz, recognizing the difficulty of securing data with which to estimate transition probabilities, developed rules which could be used to derive transition probabilities from census data. Krenz applied this technique to the size distributions of North Dakota farms. Finally, Boxley applied a completely different technique to estimating farm size distributions in the United States. Boxley's technique involved fitting negative exponential functions to firm size distributions observed from census data. According to Boxley, these functions were sufficiently stable to permit estimation of future firm size distributions.

Type
Research Article
Information
Journal of the Northeastern Agricultural Economics Council , Volume 3 , Issue 1 , May 1974 , pp. 14 - 22
Copyright
Copyright © Northeastern Agricultural and Resource Economics Association 

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Footnotes

Published with the approval of the Director of the New Hampshire Agricultural Experiment Station as scientific contribution No. 720.

References

Literature Cited

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