Joshua Angrist's core idea on causal inference?
My central idea revolves around the pursuit of credible causal inference in economics. We're not just interested in correlations; we want to know if X *causes* Y. This often means leveraging 'natural experiments' – situations where something happens that mimics random assignment, like a policy change affecting one group but not another, or a lottery system. This allows us to isolate the effect of a particular intervention or characteristic on an outcome of interest.
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