
Thomas Drechsel on the Effects of Political Pressure and Identifying Monetary Policy Shocks
Macro Musings with David Beckworth
Integrating ML and NLP in Economic Analysis
This chapter explores the combination of machine learning and natural language processing to analyze economic data, particularly through the lens of regression models. It emphasizes the importance of comprehensive data selection, critiques of relying solely on FOMC Green Book forecasts, and discusses the methodology for assessing sentiment in economic communications to inform monetary policy and forecasting.
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