Can we still find the true effect of a job training program on earnings if we compare trainees with ordinary survey respondents instead of a randomized control group? This Python tutorial shows that adding background characteristics fixes the estimate only when they adjust the expected earnings trend of the comparison group. It comes with an interactive app that runs in your web browser.
Does working from home make employees more productive, or do productive people simply choose to work from home? This beginner Python tutorial uses simulated data with a known answer to show a four-step approach to cause and effect: state your assumptions, decide what to compare, estimate the effect and stress-test it. It comes with an interactive app that runs in your web browser.
Did a job training program raise the earnings of disadvantaged workers? This Python tutorial applies a four-step approach to cause and effect (state your assumptions, decide what to compare, estimate the effect and stress-test it) to the classic LaLonde job training data. It comes with an interactive app that runs in your web browser.