Abstract We study long run implications of reinforcement learning when two players repeatedly interact with one another over multiple rounds to play a finite action game. Within each round, the players play the game many successive times with a fixed set of aspirations used to evaluate payoff...

We model political parties as adaptive decision-makers who compete in a sequence of elections. The key assumptions are that <italic>winners satisfice</italic> (the winning party in period <italic>t</italic> keeps its platform in <italic>t</italic> + 1) while <italic>losers search</italic>. Under fairly mild assumptions about losers' search rules, we show that...

Learning-by-doing and increasing returns are often perceived to have similar implications for market structure and conduct. The authors analyze this in the context of an infinite-horizon, price-setting game. Learning is shown to not reduce the viability of market-sharing collusion between a...

When human capital accumulation generates pecuniary externalities across professions, and capital markets are imperfect, persistent inequality in utility and consumption is inevitable in any steady state. This is true irrespective of the degree of divisibility in investments. However,...