Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-24T22:05:49.194Z Has data issue: false hasContentIssue false
  • English
  • Français

Nonparametric Analysis of Production Efficiency: Discussion

Published online by Cambridge University Press:  10 May 2017

Conrado M. Gempesaw II
Conrado M. Gempesaw II*
Affiliation:
Delaware Agricultural Experiment Station, Department of Food and Resource Economics, University of Delaware, College of Agricultural Sciences, Newark, DE
Get access

Extract

When I was invited to be a discussant in this session dealing with nonparametric analysis of production and consumption, my initial response was rather mixed. On one hand, I teach a graduate-level course in applied statistics, and one of the topics I cover is nonparametric statistics and its application to the biological sciences. Hence, I thought it would be interesting to relate what I cover in class with what is used in applied agricultural production economics research. On the other hand, I am not familiar with this approach since I have not used the nonparametric programming method for efficiency analysis in my past research. Thus, together with my graduate students, we started applying the nonparametric production efficiency analysis in order to gain a better understanding of this approach. The deeper we got into the research topic, I realized that there was very little relationship between what is called nonparametric statistics by statisticians and nonparametric methods used to analyze production efficiency.

Type
Invited Presentation
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 21 , Issue 2 , October 1992 , pp. 121 - 124
Copyright
Copyright © 1992 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

Published as Miscellaneous Paper no. 1450 of the Delaware Agricultural Experiment Station.

References

Färe, R., and Grosskopf, S. “A Nonparametric Cost Approach to Scale Efficiency.” The Scandinavian Journal of Economics 87 (1985):594–604.Google Scholar
Fernandez-Cornejo, J. “Dynamic Structure of Multiproduct Firms: An Application to German Agriculture.” Ph.D. diss., University of Delaware, 1990.Google Scholar
Hallam, Arne. “A Brief Overview of Nonparametric Methods in Economics.” Invited paper presented at the joint American Agricultural Economics Association-Northeast Agricultural and Resource Economics Association annual meeting, Baltimore, MD, August 1992.Google Scholar
Kadlec, J., and House, A. “The Effect of Technical Efficiency on Optimum Size.” Journal of Farm Economics 44 (1962):428–32.Google Scholar
Kalaitzandonakes, N., Wu, S., and Ma, J. “The Relationship Between Technical Efficiency and Firm Size Revisited.” Selected paper presented at the Southern Agricultural Economics Association annual meeting, Lexington, KY, February 1992.Google Scholar
Lass, D., and Gempesaw, C. “Estimation of Firm-Varying, Input-Specific Efficiencies in Dairy Production.” Northeastern Journal of Agricultural and Resource Economics 21 (1992):142–150.Google Scholar
Lee, H. “Recent Applications of Nonparametric Programming Methods.” Invited paper presented at the joint American Agricultural Economics Association-Northeast Agricultural and Resource Economics Association annual meeting, Baltimore, MD, August 1992.Google Scholar
Paarlberg, D. “Is Methodology Becoming An End In Itself.” Journal of Farm Economics 45 (1963):1386–92.Google Scholar
Thomas, A., and Tauer, L. “The Causes of Economic Inefficiencies in New York Dairy Farms.” Agricultural Economics Staff Paper no. 91-16. Department of Agricultural Economics, Cornell University, June 1991.Google Scholar