Assumptions and Data Analysis

Ed Leamer discusses the critical task of translating theoretical frameworks into compelling data analysis, highlighting the need for specific assumptions and models. He emphasizes the importance of filling in the gaps between theory and data to create a robust model that captures the complexity of real-world situations.