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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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results of such tests. In some cases, with appropriate knowledge of the corruption mechanism, the true values of the …
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Forecasting banking system liquidity is crucial for the effective monetary policy implementation. This study investigates the effectiveness of various econometric and machine learning models in predicting the autonomous factors of banking system liquidity. The research compares widely used...
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