Last week, I gave the applied statistics talk at IQSS on some of my research on estimating individual causal effects. Since there was some interest from folks who could not attend, I thought I would give a brief overview of my argument and research.
In the majority of empirical research, the quantity of interest is likely to be some type of average treatment effect, either through a regression model or some other clever research design. For example, we often run a regression of an outcome Y on some treatment W and covariates X and interpret the beta coefficient on W as the "...
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