Subclassification matching in causal inference stratifies the propensity scores into bins, and the treatment and the control units within the bins are compared to get the treatment effects estimation.

In this tutorial, we will talk about how to do subclassification propensity score matching (PSM) using the Python CausalInference package.

⏰ Timecodes ⏰
0:00 - Intro
0:24 - Step 1: Install and Import Libraries
1:18 - Step 2: Create Dataset
1:53 - Step 3: Raw Difference
2:49 - Step 4: Propensity Score Estimation
3:32 - Step 5: Subclassification Matching by Propensity Score Stratification
4:37 - Step 6: Subclassification Treatment Effect Estimation

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