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Economists use non-experimental data for causal inference in most empirical research. The causal effect of a treatment for an individual is the difference between potential outcomes with treatment and without treatment. Angrist and Piscke present a simple example from health insurance in which the treatment group consists of individuals with health insurance, the control group consists of individuals without health insurance and the outcome is the health status.