"驱动通胀的机器学习分析：20个发达国家2000-2021年通胀预测"

The paper titled "What does machine learning say about the drivers of inflation?" explores the factors influencing Consumer Price Index (CPI) inflation in 20 advanced countries from 2000 to 2021. Using a computationally intensive machine learning technique involving 1,000 regression trees, the paper predicts inflation trends based on six key variables. The study goes beyond traditional economic models to uncover hidden patterns and relationships that may impact inflation rates. By harnessing the power of machine learning, researchers gain deeper insights into the complex dynamics driving inflation, shedding light on how various factors such as monetary policy, consumer behavior, and global economic conditions interact to influence price levels. This innovative approach offers a new perspective on monetary policy decision-making and economic forecasting, providing policymakers with valuable tools for managing inflation and promoting stable economic growth.