Sensitivity Of The Gme Estimates To Support Bounds
The claim has been made that the Generalized Maximum Entropy (GME) estimator of Golan, Judge and Miller is not sensitive to variations in the support bounds of either the parameters or the error terms. In this paper, we scrutinized this claim by means of Monte Carlo experiments and found that the parameter estimates are impacted in a substantial way by these changes. We also analyzed the famous data sample on the US manufacturing industry used by Cobb and Douglas in 1934 and found that the GME estimator is very sensitive to changes in support bounds. We conclude with a general result by Caputo and Paris according to which any support bound variation produces unexpected responses in the parameter estimates.
|Date of creation:||2001|
|Date of revision:|
|Contact details of provider:|| Phone: 530-752-1517|
Web page: http://www.agecon.ucdavis.edu/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
- Barnett, William A. & Jonas, Andrew B., 1983. "The Muntz-Szatz demand system : An application of a globally well behaved series expansion," Economics Letters, Elsevier, vol. 11(4), pages 337-342.
- Sergio H. Lence & Douglas J. Miller, 1998.
"Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross-Entropy Approach,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 80(4), pages 852-867.
- Lence, Sergio H. & Miller, Douglas, 1998. "Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross Entropy Approach," Staff General Research Papers 1305, Iowa State University, Department of Economics.
- Caputo, Michael R. & Paris, Quirino, 2008. "Comparative statics of the generalized maximum entropy estimator of the general linear model," European Journal of Operational Research, Elsevier, vol. 185(1), pages 195-203, February.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:ags:ucdavw:11966. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.