matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
https://matheusfacure.github.io/python-causality-handbook/landing-page.html
MIT License
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Issue on page /05-The-Unreasonable-Effectiveness-of-Linear-Regression.html #347

Closed doctor-phil closed 11 months ago

doctor-phil commented 11 months ago

This formula says that we can predict educ from the parents’ education, from IQ, from experience and so on. After we do that, we’ll be left with a version of educ, which is uncorrelated with all the variables included previously. This will break down arguments such as “people that have more years of education have it because they have higher IQ. It is not the case that education leads to higher wages. It is just the case that it is correlated with IQ, which is what drives wages”.

In the sentence above think the variable we are predicting should be wage, Since educ is on the rhs