Article ID: | iaor2009488 |
Country: | Germany |
Volume: | 3 |
Issue: | 3 |
Start Page Number: | 215 |
End Page Number: | 228 |
Publication Date: | Jan 1994 |
Journal: | Central European Journal of Operations Research |
Authors: | Dimadefas Angelo Antoci, Sacco Pier Luigi |
Keywords: | game theory, financial |
We study an evolutionary game of public contracting in which firms are randomly matched in pairs from an infinite population to play a public contracting contest, e.g. to build bridges. Price is fixed; firms must choose quality, which may be Low, Normal or Outstanding. The highest quality wins the contest; however, the higher the quality offered, the less the profit. We show how selection of a quality pattern at the population level occurs via replicator dynamics, i.e., relatively more rewarding strategies are adopted with increasing frequencies. A complete characterization of the dynamics is provided.