Mixed Markov-Perfect Equilibria in the Continuous-Time War of Attrition
Jean-Paul D\'ecamps, Fabien Gensbittel, Thomas Mariotti

TL;DR
This paper proves the existence of mixed-strategy Markov-perfect equilibria in a continuous-time war of attrition model with a linear diffusion state, using topological fixed-point methods.
Contribution
It introduces a novel proof technique for equilibrium existence in continuous-time stochastic games with randomized strategies.
Findings
Existence of mixed-strategy equilibrium in the model
No pure-strategy equilibrium in some cases
Application of topological fixed-point theorem
Abstract
We prove the existence of a Markov-perfect equilibrium in randomized stopping times for a model of the war of attrition in which the underlying state variable follows a homogenous linear diffusion. The proof uses the fact that the space of Markovian randomized stopping times can be topologized as a compact absolute retract, which in turn enables us to use a powerful fixed-point theorem by Eilenberg and Montgomery. We illustrate our results with an example of a war of attrition that admits a mixed-strategy Markov-perfect equilibrium but no pure-strategy Markov-perfect equilibrium.
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