Cookies?
Library Header Image
LSE Research Online LSE Library Services

Discounted stochastic games, the 3M property and stationary Markov perfect equilibria

Fu, Jing and Page, Frank (2022) Discounted stochastic games, the 3M property and stationary Markov perfect equilibria. Systemic Risk Centre Discussion Papers (119). Systemic Risk Centre, The London School of Economics and Political Science, London, UK.

[img] Text (dp-119) - Published Version
Download (651kB)

Abstract

We show that all discounted stochastic games DSGs satisfying the usual assumptions have Nash payoff selection correspondences having fixed points. Our fixed point result is surprising because it is well known that Nash payoff selection correspondences are badly behaved, being in general neither convex valued nor closed valued in the appropriate topologies (in this case the weak star topologies). Here we show that because all DSGs satisfying the usual assumptions have upper Caratheodory (uC) Nash (equilibrium) correspondences containing uC Nash sub-correspondences having the 3M property (defined here), these uC Nash sub-correspondences are continuum valued and therefore induce interval-valued uC player payoff sub-correspondences - and therefore, Caratheodory approximable uC player payoff sub-correspondences. Finally, because these uC player payoff sub-correspondences are Caratheodory approximable, their induced Nash payoff selection sub-correspondences have fixed points - implying that the DSGs to which they belong have stationary Markov perfect equilibria.

Item Type: Monograph (Discussion Paper)
Official URL: https://www.systemicrisk.ac.uk/
Additional Information: © 2022 The Author(s)
Divisions: Systemic Risk Centre
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HG Finance
JEL classification: C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C70 - General
Date Deposited: 05 Jun 2023 09:00
Last Modified: 16 Sep 2023 00:00
URI: http://eprints.lse.ac.uk/id/eprint/118865

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics