Adapting Strategic Risk in Corporate Tournaments
AbstractThe way in which agents manipulate the distribution of performance outcomes in strategic settings has received increasing attention in the game theory literature. This paper uses an evolutionary approach to examine the optimal adaptation of strategic variability in corporate promotion tournaments. The model describes a situation in which agents are promoted to a higher salary based on observable performance, which depends stochastically on effort. Simulation results show that the optimal adaptation of risk-taking is highly dependent on the population mix. However, strategies that involve adapting risk early in the tournament are almost never part of an evolutionarily stable state, particularly when using uniform initial conditions. Results also show how managers can choose rank-order payoff schemes and tournament lengths to optimize with respect to risk-taking and effort.
Download InfoIf 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.
Bibliographic InfoPaper provided by American University, Department of Economics in its series Working Papers with number 2008-17.
Length: 19 pages
Date of creation: Sep 2008
Date of revision:
Contact details of provider:
Web page: http://www.american.edu/cas/economics/
Evolutionary Game Theory; High Variance Strategies; Tournaments.;
Find related papers by JEL classification:
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
- M5 - Business Administration and Business Economics; Marketing; Accounting - - Personnel Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-04 (All new papers)
You can help add them by filling out this form.
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 Meal).
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.