anti-corruption
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Using machine learning to detect corruption
When governments harness public budget data and machine learning, they can better predict the incidence of local government corruption.
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The paradox of anticorruption messaging: Evidence from a tax reform in Honduras
How should governments communicate reforms to fight corruption without reinforcing citizens’ negative perceptions? A carefully designed information intervention in Honduras provides a promising approach to update citizen beliefs about corruption in t...
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How corporate debarment affects workers in Brazil
The large negative effects of corporate debarment on workers should be an important consideration for governments
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Corruption and firms: Evidence from Brazil
Randomised anti-corruption audits in Brazil yield positive economic outcomes for local firms and businesses