We investigate the estimation of models of dynamic discrete-choice games of incomplete information, formulating the maximum-likelihood estimation exercise as a constrained optimization problem which can be solved using state-of-the-art constrained optimization solvers. Under the assumption that...

We analyze a canonical binary-action coordination game under the global games framework. To reduce coordination failure, we propose a novel intervention program that screens agents based on their heterogeneous interim beliefs. Compared with conventional government-guarantee type of programs, it...