Markov distributional equilibrium dynamics in games with complementarities and no aggregate risk

We present a new approach to studying equilibrium dynamics in class of stochastic games with continuum players private types and strategic complementarities. introduce suitable concept, called Markov Stationary Nash Distributional Equilibrium (MSNDE), prove its existence, determine comparative statics paths the steady?state invariant distributions which they converge. Finally, we provide numerous applications our results including: dynamic models growth status concerns, social distance, paternalistic bequests endogenous preferences for consumption.