python-causality-handbook

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Thanks for creating a great resource! The suggested pseudo outcome for the continuous treatment case is ``` y* = (y-y_pred)*(t-t_pred) / (t-t_pred)^2 = (y-y_pred) / (t-t_pred) ``` So it is...

SebKrantz

Matheus, no parágrafo https://matheusfacure.github.io/python-causality-handbook/14-Panel-Data-and-Fixed-Effects.html#time-effects ". To give a more concrete example, suppose that marriage is increasing with time." vc poderia exemplificar, com ". To give a more concrete example, suppose...

LPecht

I think this sentence `and the standard deviation of this distribution will be the square root of the sum of the standard deviations.` is supposed to say ` sum of...

sli0111

It would be interesting if you could provide some example on matrix completion as future work :) Do you have any material at your disposal rn?

ireneb612

Appendix on Conformal Inference with Synthetic Controls

1

In issue https://github.com/matheusfacure/python-causality-handbook/issues/270 by @david26694, the question comes up whether it's correct to fit the counterfactual on the whole data instead of using only the training period. I see that...

Allgoerithm

I'm having some troubles wrapping my head around how the proposed evaluation in terms of elasticity could be extended to a scenario with multiple (discrete) treatments. Would appreciate a perspective...

TDebono

There is an issue on chapter 9, in the following paragraph OLS is saying that the treatment effect is BRL 27.60, that is, the push increases in-app purchase by 27.6...

Navatso

There is an issue on chapter 22, in the following paragraph making predictions will all It should be making predictions with all

david26694

Issue on page /01-Introduction-To-Causality.html

1

After the following "...and we have that the causal impact on the treated is the same as in the untreated (because they are very similar)":  I do not understand...

tacla

typo : "For example, pretend for a moment that your experimental data actually looks like the following plot, where you test higher prices for the segment A (rich population) but...

fclerot