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Machine Learning Improves Cross-border Tax Estimates

Multidisciplinary research has established that VAT-results are in practice six times lower than what it should have been. The new estimates rely on machine learning techniques.

A research team of the Universities from Leiden and Amsterdam (with background Data Science, Economy and e-Law) presented their new estimates in de Journal of the Royal Statistical Society, under the title: 'A data-driven supply-side approach for estimating cross-border Internet purchases within the European Union'.

The authors are: Quinten Meertens, Cees Diks (UvA), Jaap van den Herik and Frank Takes.

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