DP7270 Strategic Experimentation with Poisson Bandits

Author(s): R Godfrey Keller , Sven Rady

Publication Date: April 2009

Keyword(s): Bayesian Learning , Differential-Difference Equation , Markov Perfect Equilibrium , Piecewise Deterministic Process , Poisson Process , Strategic Experimentation , Two-Armed Bandit

JEL(s): C73 , D83 , O32

Programme Areas: Industrial Organization

Link to this Page: www.cepr.org/pubs/dps/DP7270.asp.asp

We study a game of strategic experimentation with two-armed bandits where the risky arm distributes lump-sum payoffs according to a Poisson process. Its intensity is either high or low, and unknown to the players. We consider Markov perfect equilibria with beliefs as the state variable. As the belief process is piecewise deterministic, payoff functions solve differential-difference equations. There is no equilibrium where all players use cut-off strategies, and all equilibria exhibit an 'encouragement effect' relative to the single-agent optimum. We construct asymmetric equilibria in which players have symmetric continuation values at sufficiently optimistic beliefs yet take turns playing the risky arm before all experimentation stops. Owing to the encouragement effect, these equilibria Pareto dominate the unique symmetric one for sufficiently frequent turns. Rewarding the last experimenter with a higher continuation value increases the range of beliefs where players experiment, but may reduce average payoffs at more optimistic beliefs. Some equilibria exhibit an 'anticipation effect': as beliefs become more pessimistic, the continuation value of a single experimenter increases over some range because a lower belief means a shorter wait until another player takes over.