Preferences for Livestock Revenue Insurance Among Beef Producers
Personal interviews were conducted with 52 Louisiana cow-calf producers to determine their preferences for a livestock revenue insurance (LRI) product. Conjoint analysis was utilized to determine the importance of selected attributes of insurance policies for these producers. Two-limit tobit models were estimated. Producers were segmented using cluster analysis based upon preferences for LRI product attributes. A multinomial logit model was used to determine differences between characteristics of producers in each cluster. Producers generally preferred higher-premium, zero-deductible products; 180-day policy length; the state price series; and an in-person method of marketing. Cluster analysis yielded three groups of preferences
Volume (Year): 25 (2007)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: |
Web page: http://www.agecon.uga.edu/~jab/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ags:jloagb:62288. 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.