How economists isolate true cause and effect in complex real-world data
Joshua Angrist, a 2021 Nobel laureate, explains the rigorous methods used to determine causality in economic research. This lecture provides a masterclass on how to move beyond simple correlations to identify the actual drivers of economic outcomes.
In his 2021 Nobel Prize lecture, Joshua Angrist discusses the evolution of empirical techniques designed to uncover causal links within economic data. His work, recognized alongside Guido W. Imbens, focuses on the methodological frameworks that allow researchers to isolate specific variables and understand their direct impact on policy and labor markets.
The lecture, delivered on December 8, 2021, highlights the shift toward strategies that treat real-world scenarios as natural experiments. By refining these analytical tools, Angrist has helped economists better navigate the challenge of distinguishing between mere coincidence and genuine cause-and-effect relationships.
