8
Causal Models – Assumptions and Challenges
Welcome to Chapter 8.
In Chapter 7, we demonstrated how to leverage the power of the DoWhy library to estimate causal effects. The goal of this chapter is to deepen our understanding of when and how to use causal inference methods.
We’ll review some of the assumptions that we introduced earlier in Chapter 5 and we’ll discuss some more assumptions in order to get a clearer picture of the challenges and limitations that we might face when working with causal models.
By the end of this chapter, you will have a good understanding of the challenges that you may face when implementing causal models in real life and possible solutions to these challenges.
In this chapter, we will cover the following:
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