Workflow

Workflow:

This workflow can be captured by four key verbs in DoWhy:

• model - encodes prior knowledge as a formal causal graph

• identify - uses graph-based methods to identify the causal effect

• estimate - uses statistical methods for estimating the identified estimand

• refute - tries to refute the obtained estimate by testing robustness to assumptions

Different estimation methods:

1. Regression: Linear Regression Method used

2. Stratification: Propensity Score used for Stratification

3. Matching: Propensity Score used for Matching

4. Weighting: Inverse Propensity Scoring technique used to assign weights to units

   1. Vanilla Inverse Propensity Score weighting (IPS) (weighting_scheme=“ips_weight”)

   2. Self-normalized IPS weighting (also known as the Hajek estimator) (weighting_scheme=“ips_normalized_weight”)

   3. Stabilized IPS weighting (weighting_scheme = “ips_stabilized_weight”)

5. Instrumental Variable - Wald estimator used

6. Regression Discontinuity

Go to the Notebook for reference!!