Machine Learning for Economic Policy

A-Tier

Journal: Journal of Econometrics

Year: 2025

Volume: 249

Issue: PC

Authors (6)

Haghighi, Maryam (not in RePEc) Joseph, Andreas (not in RePEc) Kapetanios, George (King's College London) Kurz, Christopher (not in RePEc) Lenza, Michele (European Central Bank) Marcucci, Juri (Banca d'Italia)

Score contribution per author:

0.670 = (α=2.01 / 6 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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Abstract

The Themed Issue Machine Learning for Economic Policy consists of 12 papers at the intersection of machine learning, nontraditional data sources and economic policymaking. We will introduce the Themed Issue and review its contributions.

Machine Learning for Economic Policy

Authors (6)

Abstract

Technical Details