In this paper, I examine methods used to construct and estimate game-theoretic models of oligopolistic interactions, and I survey some of the empirical findings. Both static and dynamic games are covered. Static models provide useful summary statistics concerning the outcomes of oligopolistic interaction, whereas dynamic models attempt to capture more complex strategic behavior. In the exposition of static games, I consider two empirical approaches: the first-order approach and the dual approach. When we turn to dynamics, I limit my remarks to state-space games - games in which actions taken in one period shift payoffs in subsequent periods. With state-space games, all history that is pay-off relevant is summarized by a small set of variables - the state - and players' strategies depend only on the state and time.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
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.
Contact details of provider: Postal: Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office CIREQ-C.R.D.E., Université de Montréal C.P. 6128, succursale Centre-ville Montréal, Québec, H3C 3J7, Canada Email: Web page: http://economics.ca/cje/ More information through EDIRC
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)