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Insights from the Field

Machine Learning Unveils New Insights into European Union Power Delegation


machine learning
delegation
EU legislation
legislative analysis
European Politics
APSR
10 R files
2 Stata files
9 datasets
Dataverse
Understanding Delegation Through Machine Learning: A Method and Application to the European Union was authored by Lefteris Jason Anastasopoulos and Anthony M. Bertelli. It was published by Cambridge in APSR in 2020.

Delegation of powers in politics involves politicians granting authority to agents through enabling statutes' conditions.

➡️ Beyond Laborious Content Analysis

  • The study introduces a machine learning approach for analyzing EU legislation on power delegation.
  • This method efficiently identifies discretionary measures across all EU directives and regulations from 1958-2017.

➡️ Method Validation

  • Researchers trained the classifier using just 10% of hand-coded provisions as a reference point.
  • The approach successfully replicates original findings, demonstrating accuracy in large-scale legislative analysis.

➡️ The Broader Applicability

  • While focused on power delegation, this technique offers value for any field previously dependent on intensive human coding.
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