Add to ORKGWe establish uniform continuity of the value for zero-sum games with di¤erential information, when the distance between changing information elds of each player is measured by the Boylan (1971) pseudo-metric. We also show that the optimal strategy correspon-dence is upper semi-continuous when the information \u85elds of players change (even with the weak topology on playersstrategy sets), and is approximately lower semi-continuous. JEL Classi\u85cation Number: C72
National audienceWe define the distance between two information structures as the largest possible d...
We show that the value of a zero-sum Bayesian game is a Lipschitz continuous function of the players...
We dene the distance between two information structures as the largest possible dierence in the valu...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We show that the value of a zero-sum Bayesian game is a Lipschitz continuous function of the players...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
National audienceWe define the distance between two information structures as the largest possible d...
National audienceWe define the distance between two information structures as the largest possible d...
We show that the value of a zero-sum Bayesian game is a Lipschitz continuous function of the players...
We dene the distance between two information structures as the largest possible dierence in the valu...
We establish uniform continuity of the value for zero-sum games with di¤erential information, when t...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We establish uniform continuity of the value for zero-sum games with differential information, when ...
We show that the value of a zero-sum Bayesian game is a Lipschitz continuous function of the players...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
We define the distance between two information structures as the largest possible difference in valu...
National audienceWe define the distance between two information structures as the largest possible d...
National audienceWe define the distance between two information structures as the largest possible d...
We show that the value of a zero-sum Bayesian game is a Lipschitz continuous function of the players...
We dene the distance between two information structures as the largest possible dierence in the valu...