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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
2.66k stars 463 forks source link

Issue on page /14-Panel-Data-and-Fixed-Effects.html #228

Closed mohanganeesh closed 2 years ago

mohanganeesh commented 2 years ago

Thanks for this book! Enjoying the read so far. Recommending below changes to make it flawless for future readers

Change # 1: "Also, recall that the power of DiD comes from the fact that estimating the mentioned counterfactual only requires that the growth deposits in POA matches the growth in deposits in FLW"

To: (add a missing "in") "Also, recall that the power of DiD comes from the fact that estimating the mentioned counterfactual only requires that the growth in deposits in POA matches the growth in deposits in FLW"

Change # 2: "Also, remember that a natural extension of this assumption is the the conditional independence assumption, which allows the potential outcomes to be dependent on the treatment at first, but independent once we condition on the confounders "

To: (remove duplicate "the") "Also, remember that a natural extension of this assumption is the conditional independence assumption, which allows the potential outcomes to be dependent on the treatment at first, but independent once we condition on the confounders "

Change # 3: But how exactly does this ties back to DiD and the parallel trends assumption?

To: (grammar correction) But how exactly does this tie back to DiD and the parallel trends assumption?