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...

I study identification of games of incomplete information, both static and dynamic, when there are multiple equilibria in the data. In the case of static games, I show that if multiplicity disappears at a small subset of the support of the observables, payoffs are identified. All the equilibria...

This article summarizes the Opportunity Zone incentive in the Tax Cuts and Jobs Act by providing descriptive statistics on the selected zones, outlining considerations for investors, and using data on the New Markets Tax Credit to inform expectations of investors' responses to this policy