The Learning Curve, Market Dominance and Predatory Pricing
AbstractStrategic implications of the learning curve hypothesis are analyzed in the context of a price-setting, differentiated duopoly selling to a sequence of heterogeneous buyers with uncertain demands. A unique Markov perfect equilibrium is characterized and sufficient conditions are provided for market dominance to be self-reinforcing. Increasing market dominance implies that learning is privately disadvantageous. Finally, introducing avoidable fixed costs and possible exit into the model yields a new theory of predatory pricing based on the learning curve hypothesis. Copyright 1994 by The Econometric Society.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
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.
Bibliographic InfoPaper provided by Boston University - Industry Studies Programme in its series Papers with number 0039.
Date of creation: Dec 1992
Date of revision:
Contact details of provider:
Postal: Boston University, Industry Studies Program; Department of Economics, 270 Bay Road, Boston, Massachusetts 02215.
Web page: http://www.bu.edu/econ/isp/
More information through EDIRC
Other versions of this item:
- Cabral, Luis M B & Riordan, Michael H, 1994. "The Learning Curve, Market Dominance, and Predatory Pricing," Econometrica, Econometric Society, vol. 62(5), pages 1115-40, September.
- Cabral, L. & Riordan, M., 1992. "The Learning Curve, Market Dominance and Predatory Pricing," Papers 39, Boston University - Industry Studies Programme.
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Thomas Krichel).
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.