Hostname: page-component-745bb68f8f-b6zl4 Total loading time: 0 Render date: 2025-01-12T18:59:09.404Z Has data issue: false hasContentIssue false
  • English
  • Français

Validating Predicting Equations: The Supply of Feeder Calves in West Virginia

Published online by Cambridge University Press:  10 May 2017

John P. Kuehn
John P. Kuehn*
Affiliation:
Agricultural Economics, West Virginia University
Get access

Extract

The objectives of this article were first to develop a viable predicting model of the West Virginia feeder calf supply using calves marketed as the dependent variable. The second objective was to validate the predicting model using the “leave-out-one-year” procedure and to derive an alternative predicting equation using the jackknife technique. The purpose of the emphasis on the second objective was to provide a simple and direct demonstration, of a useful and necessary technique, for the large group of applied economists, who often use econometric methods, but who do not consider themselves to be econon etric specialists.

Type
Articles
Information
Journal of the Northeastern Agricultural Economics Council , Volume 8 , Issue 1 , April 1979 , pp. 39 - 43
Copyright
Copyright © Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barr, A. J., Goodnight, J. H., Sail, J. P. and Helwig, J. T. A User's Guide to SAS 76. SAS Institute, Raleigh, North Carolina, 1967.Google Scholar
Hartley, H. O. and Hartley, M. J. “Jack-knife Variance Estimation for Simultaneous Equations,” Paper presented at the 1968 Winter Meeting, Econometrica Society, Evanston, Illinois.Google Scholar
Hee, Olman. “Tests for Predictability of Statistical Models,” AJAE. 48(1966): 1479–1484.Google Scholar
Miller, R. G. Jr. “A Trustworthy Jackknife,” Ann. Math. Stat., 35 (1964): 1594–1605.Google Scholar
U. S. Bureau of the Census. “An Unbalanced Jackknife.” Ann. of Stat., 2 (1974a):880–891.Google Scholar
U. S. Bureau of the Census. “The Jackknife — A Review.” Biometrica. 61 (1974b): 1–15.Google Scholar
Mosteller, Frederick and Tukey, John W. Data Analysis and Regression. Addison-Wesley Pub., Reading. Mass., 1977.Google Scholar
Thompson, R. G., Sprott, J. M. and Callen, R. W. “Demand, Supply and Price Relationships for the Broiler Sector, with Emphasis on the Jackknife Method.” AJAE, 54(1972): 245–248.Google Scholar
Tukey, J. W. “Bias and Confidence in Not-Quite Large Samples.” Abstract in Ann. Math. Stat., 1958. p. 614.Google Scholar
Wallace, T. Dudley. “Pretest Estimation in Regression: A Survey.” AJAE. 59(1977): 431–443.Google Scholar