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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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This study examines the use of analytic techniques to develop a model that predicts the potential default of Small Business Administration (SBA) backed loans issued to American franchisees. Data collected by World Franchising (WF) in their 2008 survey and by SBA from 2000-2008, covering 271...
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