`CausalInference` is a Python package for causal analysis. It has different functionalities such as propensity score trimming, covariates matching, ordinary least squares (OLS) treatment effects estimation, subclassification, and inverse probability weighting.
In this tutorial, we will talk about how to do ordinary least squares (OLS) treatment effects estimation. Other functionalities will be introduced in future tutorials.
⏰ Timecodes ⏰
0:00 - Intro
0:22 - Step 1: Install and Import Libraries
1:18 - Step 2: Create Dataset
1:53 - Step 3: Raw Difference
2:49 - Step 4: Treatment Effects Estimation Using Ordinary Least Squares (OLS)
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