python-causality-handbook
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matheusfacure
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
There is an issue on chapter 07, in the "Bad COP" Section: > The issue is in estimating the COP part. It will be biased even under random assignment. >...
There is an issue on chapter 06, in the following paragraph "Also notice how the standard error is a bit larger and the t statistics is a bit larger." This...
I find the chapter about evaluating causal models very interesting and inspiring. I have not seen that before. However, sometimes I struggle with the terminology a bit. But maybe it...
There may be an issue in chapter 10, in the last formula of the Subclassification Estimator paragraph. The sum runs from i to K but I believe that it should...
There is an issue on chapter 03, in the following paragraphs "(...) saying that 50% of the mass of the standard normal distribution is below 0.0." and "(...) In other...
There is an issue on chapter 9, in the following paragraph In other words, this is the compiler population. Just so we can remember, Compilers means that It should be...
I have a comment as well as a question. At the end of Ch. 22 you have the counterfactual method for populating the full demand curve for each data point....
Hi, just wanted to ask a question on the section CATE Estimation with Double-ML. For the final CATE model, I noticed that the formula did not include a term for...
There is an issue on chapter 18, in the following paragraph The only problem is that prediction is not particularly useful here. Ultimately, we want to know when we can...
There is an issue on chapter 11, in the following paragraph """ Now that we got the intuition, let’s look at the mathematical proof. We want to show that (Y1...
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Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.