Estimation of an Efficient Tomato Contract
This paper estimates an agency model of contracts used in California's processing-tomato industry. Model estimation proceeds in three stages. We first estimate growers' stochastic production possibilities, and then, for a given vector of preference parameters, compute an optimal compensation schedule. Finally, we compare computed compensations with actual compensations and choose preference parameters to minimize distance between the two. Assuming perfect competition and risk neutrality for processors, we obtain an estimate of 0.08 for growers' measure of constant absolute risk aversion, and find that growers who face higher powered incentives produce higher levels of soluble solids, at a cost which is 1.8% greater than it would be otherwise. Efficiency losses from information constraints are estimated at 0.59% of mean compensation, while existing quality measurement improves efficiency by 1.08\.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||01 Jan 2002|
|Date of revision:|
|Publication status:||Published in European Review of Agricultural Economics 2002, vol. 29 no. 2, pp. 237-253|
|Contact details of provider:|| Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070|
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:isu:genres:10235. 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: (Curtis Balmer)
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.