Evolutionary dynamics and fast convergence in the assignment game
We study decentralized learning dynamics for the classic assignment game with transferable utility. At random points in time firms and workers match, break up, and re-match in the sesarch for better opportunities. We propose a simple learning process in which players have no knowledge about other...
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Format: | Working paper |
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University of Oxford
2014
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