#potential-outcomes

9 notes

• ATT (Average Treatment Effect on the Treated) Average treatment effect for the group that actually received treatment
• Doubly Robust Estimator The Doubly Robust (DR) Estimator combines an outcome-regression model and a propensity-score model, remaining consistent as long as just one of the two is correctly specified.
• Endogeneity Endogeneity is the problem that arises when an explanatory variable is correlated with the error term.
• Fundamental Problem of Causal Inference The problem that, for the same individual, the outcomes under treatment (W=1) and control (W=0) cannot be observed simultaneously
• Instrumental Variables Instrumental variables (IV) are exogenous variables used to address the problem of endogeneity.
• Positivity (Overlap) The probability of receiving treatment lies strictly between 0 and 1 for every covariate value
• Strong Ignorability An assumption combining Ignorability and Positivity
• SUTVA (Stable Unit Treatment Value Assumption) The potential outcome of one unit is not affected by the treatment assignment of other units, and only a single version exists for each treatment level.
• Treatment Effects Overview A systematic overview of the treatment effects that serve as the estimands in the Potential Outcome Framework.