The ability to predict corruption is crucial to policy. Using rich micro-data from Brazil, we show that multiple machine learning models display high levels of performance in predicting municipality-level corruption in public spending. We then quantify which individual municipality features and...

We study the optimal allocation of R&D resources in an endogenous growth model with an innovation network, through which one sector's past innovations may benefit other sectors' future innovations. First, we provide closed-form sufficient statistics for the optimal path of R&D resource...