Bayesian Learning and the Optimal Investment Decision of the Firm
This paper is about learning. It illustrates how in a two period allocation problem with uncertainty in each period, an economic agent's decisions are influenced by the knowledge that he is able to learn about the uncertainty. The time periods are linked through the learning process of the economic agent. The problem to be analysed is that faced by a firm deciding whether or not to invest in a new technology or production process, whose returns are not known with certainty. Because of the two period environment, the firm is able to experiment with the new process in the first period, and observe the results before making another investment decision at the beginning of the second. Goven the opportunity for learning, how will this affect the decision of the firm in the first period?
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:||1981|
|Date of revision:|
|Contact details of provider:|| Postal: CV4 7AL COVENTRY|
Phone: +44 (0) 2476 523202
Fax: +44 (0) 2476 523032
Web page: http://www2.warwick.ac.uk/fac/soc/economics/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:wrk:warwec:192. 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: (Robyn Till)
If references are entirely missing, you can add them using this form.