Combining Economic And Biological Data To Estimate The Impact Of Pollution On Crop Production
Duality methods utilizing a profit function framework are employed to estimate the output elasticity of ambient ozone levels on cash grain farms in Illinois. While duality methods have been recommended as a cure to many of the statistical problems of direct estimation of production functions, multicollinearity may still be a problem. A method for utilizing stochastic information on parameters of a seemingly unrelated system of equations, which is implied by profit function estimation, is developed and applied to measuring the impact of ozone. Such an approach may be necessary in measuring other environmental effects because of a lack of regressor variability.
Volume (Year): 09 (1984)
Issue (Month): 02 (December)
|Contact details of provider:|| Web page: http://waeaonline.org/|
More information through EDIRC
References listed on IDEAS
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.:
- Judge, G. G. & Yancey, T. A. & Bock, M. E., 1973. "Properties of estimators after preliminary tests of significance when stochastic restrictions are used in regression," Journal of Econometrics, Elsevier, vol. 1(1), pages 29-47, March.
- Adams, Richard M. & McCarl, Bruce A., 1985. "Assessing the benefits of alternative ozone standards on agriculture: The role of response information," Journal of Environmental Economics and Management, Elsevier, vol. 12(3), pages 264-276, September.
When requesting a correction, please mention this item's handle: RePEc:ags:wjagec:32140. 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 you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.