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results of such tests. In some cases, with appropriate knowledge of the corruption mechanism, the true values of the …
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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 … predictors of corruption, while public sector and political features play a secondary role. Our findings have implications for …
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This chapter has described tools to improve forecasting of trends and of the effects of interventions. Among these methods, role playing and rule-based forecasting have seldom been used lot environmental forecasting. Role playing is appropriate when forecasting the outcome of a situation...
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