Markov distributional equilibrium dynamics in games with complementarities and no aggregate risk
研究了一类具有连续玩家、私人类型和战略互补性的随机博弈的均衡动态，提出了马尔可夫平稳纳什分布均衡概念，证明了其存在性，并分析了均衡路径和稳态不变分布的比较静态。
We present a new approach to studying equilibrium dynamics in a class of stochastic games with a continuum of players with private types and strategic complementarities. We introduce a suitable equilibrium concept, called Markov Stationary Nash Distributional Equilibrium (MSNDE), prove its existence, and determine comparative statics of equilibrium paths and the steady‐state invariant distributions to which they converge. Finally, we provide numerous applications of our results including: dynamic models of growth with status concerns, social distance, and paternalistic bequests with endogenous preferences for consumption.