Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-27T18:32:41.310Z Has data issue: false hasContentIssue false
  • English
  • Français

Modeling State Agriculture: An Application and Some Implications

Published online by Cambridge University Press:  10 May 2017

Olugbenga Onafowora ,
Gerard D'Souza  and
Dale Colyer
Olugbenga Onafowora
Affiliation:
Department of Economics, Susquehanna University
Gerard D'Souza
Affiliation:
Division of Resource Management, West Virginia University
Dale Colyer
Affiliation:
Division of Resource Management, West Virginia University
Get access

Abstract

A disaggregated econometric model of the agricultural sector at the state level is constructed. Using time series data on West Virginia agriculture and three-stage least squares in estimation, the model is employed to examine how various components of the state's agricultural sector adjust to changes in certain price and nonprice variables. Results reveal characteristics of the state's agricultural economy that are both unique and useful—characteristics that are usually masked in aggregate models but that have profound implications for modeling producer decision making and policy formulation.

Type
Articles
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 19 , Issue 2 , October 1990 , pp. 132 - 144
Copyright
Copyright © 1990 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.)

Footnotes

This research was conducted while Olugbenga Onafowora was a graduate research assistant at West Virginia University. Senior authorship is not assigned.

The input of Anwarul Hoque during the initial stages of this study and the comments of the anonymous referees on an earlier draft of this paper are gratefully acknowledged. The authors are solely responsible for its contents.

Published with the approval of the director of the West Virginia Agricultural and Forestry Experiment Station as Scientific Article no. 2223. This research was supported with funds appropriated under the Hatch and McIntire-Stennis Acts.

References

Chavas, J-P., and Kraus, A. F. “National Dairy Policy and Regional Concerns.” In Economic Issues, no. 113. University of Wisconsin-Madison, Department of Agricultural Economics, Madison, WI, March 1990.Google Scholar
Chen, D. T. “The Wharton Agricultural Model: Structure, Specification, and Some Simulation Results.” American Journal of Agricultural Economics 59 (1977):106–16.Google Scholar
Diewert, W E. “Exact and Superlative Index Numbers.”Journal of Econometrics 4 (1976):115–45.Google Scholar
D'Souza, G. E., Materu, M. B., Smith, D. K., Hoque, A., and Zinn, G. W. “The Role of Agriculture in the Economic Development of West Virginia: An Input-Output Analysis.” West Virginia Agriculture and Forestry Experiment Station. Miscellaneous Publication no. 20. Morgantown, WV, April 1988.Google Scholar
Egbert, A. C. “An Aggregate Model of Agriculture: Empirical Estimates and Some Policy Implications.” American Journal of Agricultural Economics 51 (1969):71–86.Google Scholar
Freebairn, J. W., Rausser, G. C., and de Gorter, H. “Food and Agricultural Sector Linkages to the International and Domestic Macroeconomies.” In New Directions in Econometric Modeling and Forecasting in U.S. Agriculture, ed. Rausser, G. C. Amsterdam: North Holland, 1982.Google Scholar
Houck, J. P., and Gallagher, P. W. “The Price Responsiveness of U.S. Corn Yields.” American Journal of Agricultural Economics 58 (1976):731–34.Google Scholar
Intriligator, M. D. Econometric Models, Techniques, and Applications. Englewood Cliffs, NJ: Prentice Hall, Inc., 1978.Google Scholar
Just, R. E. “Agricultural Sector Models and Their Interface with the General Economy: Discussion.” American Journal of Agricultural Economics 59 (1977):137–40.Google Scholar
King, G. A. “Econometric Models of the Agricultural Sector.” American Journal of Agricultural Economics 57 (1975):164–71.Google Scholar
Lee, D. R., and Helmberger, P. G. “Estimating Supply Response in the Presence of Farm Programs.” American Journal of Agricultural Economics 67 (1985):193–203.Google Scholar
Martin, W J., and Heady, E. O. “A Quarterly Econometric Model of the U.S. Livestock-Feed Subsector and Some of Its Dynamic Multipliers.” CARD Rep. no. 127T, Iowa State University. Ames, IA, 1984.Google Scholar
Nerlove, M. “Distributed Lags and Estimation of Long-Run Supply and Demand Elasticities: Theoretical Considerations.” Journal of Farm Economics 40 (1958):301–10.Google Scholar
Onafowora, O. A. “An Econometric Model of the West Virginia Agricultural Sector.” Ph.D. diss., West Virginia University, 1989.Google Scholar
Ospina, E., and Shumway, C. R. “A Disaggregated Econometric Analysis of U.S. Slaughter Beef Supply.” Texas Agricultural Experiment Station, Technical Monograph 9. 1980.Google Scholar
Pindyck, R. S., and Rubinfeld, D. L. Econometric Models and Economic Forecasts. New York: McGraw-Hill Book Company, 1976.Google Scholar
Popkin, J. “Some Avenues for Improvement of Price Forecasts Generated by Macroeconometric Models.” American Journal of Agricultural Economics 57 (1975):157–63.Google Scholar
Statistical Analysis Systems. SAS/ETS Users Guide. Version 5. Cary, NC: SAS Institute, 1984.Google Scholar
Subotnik, A. “Theoretical Background and Empirical Supply Estimates of the U.S. Livestock Sector.” Economic Research Service, U.S. Department of Agriculture, ERS Staff Report no. AGESS810706. Washington, DC, June 1981.Google Scholar
U.S. Department of Agriculture. Agricultural Statistics. Washington, DC, various issues.Google Scholar
U.S. Department of Agriculture. Economic Indicators of the Farm Sector: State Income and Balance Sheet Statistics. Washington, DC, 1984.Google Scholar
U.S. Department of Agriculture. Economic Indicators of the Farm Sector: State Financial Summary. Washington, DC, 1986.Google Scholar
Weiss, M., Whittington, M., and Teigen, L. “Weather in U.S. Agriculture: Monthly Temperature and Precipitation by State and Farm Production Region, 1950–84.” U.S. Department of Agriculture, SB-737. Washington, DC, 1985.Google Scholar
West Virginia Department of Agriculture. West Virginia Agricultural Statistics. Charleston, WV, various issues.Google Scholar
West Virginia Department of Employment Security Research and Statistics, and U.S. Bureau of Labor and Statistics. West Virginia Employment and Earning Trends, Annual Summary. Various issues.Google Scholar
Womack, A. “The Demand for Com, Sorghum, Oats, and Barley: An Econometric Analysis.” University of Minnesota, Department of Agricultural and Applied Economics, Economic Report 76-5. August 1976.Google Scholar