Compensated optimal response under uncertainty in agricultural household models
Author
Abstract
Suggested Citation
DOI: 10.1111/j.1574-0862.1994.tb00326.x
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Carbajal De Nova, Carolina, 2017. "Synthetic data. A proposed method for applied risk management," MPRA Paper 77978, University Library of Munich, Germany, revised 28 Mar 2017.
- De Nova, Carolina Carbajal, 2021. "Synthetic data. A novel proposed method for applied risk management," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311085, Agricultural Economics Society - AES.
- Michael R. Caputo, 2023. "Fundamental comparative statics of the canonical agricultural household model," Economics Bulletin, AccessEcon, vol. 43(4), pages 1787-1796.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:agecon:v:11:y:1994:i:2-3:p:111-123. See general information about how to correct material in RePEc.
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.
We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.