Web Reference: Snow’s main evidence was striking, and I will discuss results based on Table XII and Table IX (not shown) in Table 9.1. The main difference between my version and his version of Table XII is that I will use his data to estimate a treatment effect using difference-in-differences. Difference in differences requires data measured from a treatment group and a control group at two or more different time periods, specifically at least one time period before "treatment" and at least one time period after "treatment." Differences-in-Differences regression (DID) is used to asses the causal effect of an event by comparing the set of units where the event happened (treatment group) in relation to units where the event did not happen (control group).
YouTube Excerpt: In the 9th week of the Introduction to Causal Inference online course, we cover
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