Machine Learning for Economic Policy

Haghighi, Maryam

doi:10.1016/j.jeconom.2025.105970

Machine Learning for Economic Policy

2025-02-01

0

PRE

AI

DOI：10.1016/j.jeconom.2025.105970

Original

Original request for help

Save

Abstract

En 中文

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.

Keywords:

Machine learning

Nontraditional data

Big data

Text mining

Text-as-data

Text analysis

Natural language processing

Artificial intelligence

Data science

High-dimensional time series

Networks

Machine Learning for Economic Policy

Abstract

Journal

Organization