This paper introduces a simulation algorithm for evaluating the log-likelihood function of a large supermodular binary …-market entry games. More generally, the algorithm facilitates simulated maximum likelihood (SML) estimation of games with large … Carlo integration, are computationally impractical in such settings. In contrast, we introduce a novel importance sampling …

sampling algorithm which allows for accurate likelihood simulation with modest numbers of simulation draws. …This paper introduces a simulation algorithm for evaluating the log-likelihood function of a large supermodular binary …-market entry games. More generally, the algorithm facilitates simulated maximum likelihood (SML) estimation of games with large …