IMF paper builds corruption indicator using big data

The IMF's second HQ building
Henrik Gschwindt de Gyor/IMF

New research published by the International Monetary Fund uses big data to assess the macroeconomic effects of corruption.

The team of researchers construct a ‘News Flow Indicator of Corruption’ (NIC) and its corruption-fighting counterpart, the anti-NIC, by running country-specific search algorithms on a newspaper database of more than 650 million articles, which record the number and intensity of news coverage that reference corruption.

The IMF working paper finds that on average NIC shocks

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