Hostname: page-component-76fb5796d-9pm4c Total loading time: 0 Render date: 2024-04-29T16:21:57.446Z Has data issue: false hasContentIssue false

An Examination of Major Crop Acreage Response

Published online by Cambridge University Press:  28 April 2015

R. L. Walker
Affiliation:
Economic Research Service, USDA at Purdue University
J. B. Penn
Affiliation:
North Carolina State University
Get access

Extract

In recent years, several studies have examined acreage response of major crops to various economic, technical, and institutional stimuli. These studies focused primarily upon the influence of government farm programs on producers' production decisions. While the influence of government programs has recently diminished and market forces are more direct determinants, this less stable situation has likely increased informational needs on potential production response. Previously developed response models require updating, additional refinement, or reformulation for continued usefulness in the current situation.

Type
Research Article
Copyright
Copyright © Southern Agricultural Economics Association 1975

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

[1] Hoffman, R. G.Wheat-Regional Supply Analysis,” WS-225, Wheat Situation, USDA, August 1973.Google Scholar
[2] Houck, J. P. and Ryan, M. E.. “Supply Analysis for Corn in the U.S.: The Impact of Changing Government Programs,” American Journal of Agricultural Economics, 54, May 1972.Google Scholar
[3] Just, Richard E.A Methodology for Investigating the Importance of Government Intervention in Farmers Decisions,” American Journal of Agricultural Economics, 55, No. 3, August 1973.Google Scholar
[4] Kmenta, Jan and Gilbert, Roy F.. “Small Sample Properties of Alternative Estimators of Seemingly Unrelated Regressions,” Journal of American Statistics Association, 63, December 1968.Google Scholar
[5] Penn, J. B. and Irwin, G. D.. “A Simultaneous Equation Approach to Production Response: Delta Region,” Southern Journal of Agricultural Economics, 3, December 1971.Google Scholar
[6] Penn, J. B. Econometric Policy Models of Commodity Supply Response, unpublished Ph.D. thesis, Purdue University, August 1973.Google Scholar
[7] Penn, J. B. and Irwin, G. D.. “Acreage Response of Corn, Grain Sorghum, Soybeans and Cotton to Farm Commodity Programs,” Purdue Agricultural Experiment Station Journal Paper No. 5421, April 1974.Google Scholar
[8] Penn, J. B. and Walker, R. L.. “A Production-Utilization-Inventory System for Major U.S. Commodities,” (in process), October 1974.Google Scholar
[9] Ryan, M. E. and Martin, Abel. “Corn Acreage Response and the Set-Aside Program,” Agricultural Economic Research, 24, October 1972.Google Scholar
[10] Ryan, M. E. and Martin, Abel. “Supply Response of U.S. Sorghum Acreage to Government Programs,” Agricultural Economic Research, 25, April 1973.Google Scholar
[11] Ryan, M. E. and Martin, Abel. “Oats and Barley Acreage Response to Government Programs,” Agricultural Economic Research, 25, October 1973.Google Scholar
[12] Telser, L. G.Iterative Estimation of a Set of Linear Regression Equations,” Journal of the American Statistics Association, 59, 1964.CrossRefGoogle Scholar
[13] Theil, H. Applied Economic Forecasting, North Holland Publishing Co., Amsterdam, 1966.Google Scholar
[14] Theil, H. Principles of Econometrics, John Wiley & Sons, New York, 1971.Google Scholar
[15] White, Fred C. and McArthur, W. G.. “Statistical Decision Theory in a Macro Simulation Model: Feed Grain Sector,” Agricultural Economic Research, 26, July 1974.Google Scholar
[16] Zellner, A.An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias,” Journal of the American Statistics Association, 57, 1962.Google Scholar
[17] Zellner, A., and Huang, D. S.. “Further Properties of the Efficient Estimators for Seemingly Unrelated Regression Equations,” International Economic Review, 3, 1962.Google Scholar
[18] Zellner, A.Estimators for Seemingly Unrelated Regression Equations: Some Exact Finite Sample Results,” Journal of the American Statistics Association, 58, 1963.Google Scholar