Advanced Search
MyIDEAS: Login to save this article or follow this journal

Bayesian Learning and the Optimal Investment Decision of the Firm

Contents:

Author Info

  • Tonks, Ian

Abstract

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?

(This abstract was borrowed from another version of this item.)

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://links.jstor.org/sici?sici=0013-0133%28198399%2993%3C87%3ABLATOI%3E2.0.CO%3B2-2&origin=bc
File Function: full text
Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 93 (1983)
Issue (Month): 369a (Supplement March)
Pages: 87-98

as in new window
Handle: RePEc:ecj:econjl:v:93:y:1983:i:369a:p:87-98

Contact details of provider:
Postal: Office of the Secretary-General, School of Economics and Finance, University of St. Andrews, St. Andrews, Fife, KY16 9AL, UK
Phone: +44 1334 462479
Email:
Web page: http://www.res.org.uk/
More information through EDIRC

Order Information:
Web: http://www.blackwellpublishers.co.uk/asp/journal.asp?ref=0013-0133

Related research

Keywords:

Other versions of this item:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Alexander Zimper & Alexander Ludwig, 2007. "Attitude polarization," MEA discussion paper series 07155, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  2. A. Ludwig & A. Zimper, 2013. "A parsimonious model of subjective life expectancy," Theory and Decision, Springer, vol. 75(4), pages 519-541, October.
  3. Alexander Zimper, 2011. "Do Bayesians learn their way out of ambiguity?," Working Papers 240, Economic Research Southern Africa.
  4. Alexander Ludwig and Alexander Zimper, 2013. "Biased Bayesian Learning with an Application to the Risk-Free Rate Puzzle," Working Papers 390, Economic Research Southern Africa.
  5. Alexander Zimper & Alexander Ludwig, 2008. "On attitude polarization under Bayesian learning with non-additive beliefs," Working Papers 104, Economic Research Southern Africa.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ecj:econjl:v:93:y:1983:i:369a:p:87-98. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).

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.