Information Acquisition in Affiliated Decision Problems
This paper investigates information acquistion in decision problems. We introduce a new notion of "better information", Accuracy-order (A-order), defined on continuous families of signals. Accuracy formalizes the idea that "a signal that is more correlated with the unknown random variable is better". This concept is indigenous to an economically interesting subset of all decision problems, those where signals are affiliated and the payoff function satisfies the single-crossing property. On this subset, this notion is found to be "tight", in the sense that A-order is an if-and-only-if condition for better information. Thus, a Blackwell-type result is obtained. On the subset, it is shown that Blackwell's Sufficiency is a special case of Accuracy. Finally, a comparative statics result is obtained, about which decision problem will induce more information acquistion.
|Date of creation:||Feb 1996|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.kellogg.northwestern.edu/research/math/
More information through EDIRC
|Order Information:|| Email: |
When requesting a correction, please mention this item's handle: RePEc:nwu:cmsems:1149. 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: (Fran Walker)
If references are entirely missing, you can add them using this form.