Yale University Press Causal Inference: The Mixtape

Difficult concepts made entertaining and relatively accessible. Perhaps a funny feature, but for such a book it's actually really lightweight, which is incredibly beneficial for someone who has to carry it to university and back several times a week.

You would get by econometrics for just reading this book. Many tradition ones are mathematically heavy and take unnecessary amounts of time to digest. If you are willing to make the tradeoff for readability and conceptual clarity, this one is the goat. Including code examples make econometrics applicable and practical.

Book is riddled with mistakes which makes you lose confidence to go further. I spent almost 2 hours trying to understand a simple set theory which didnt make sense at all with what is written. Finally, I gave up and checked the online version of this book and realized it is a mistake in the printed version! (Images attached) Given that this book was written in 2021, It is fair to expect that basic simple mistakes would have been corrected already. Given that I am a novice in causal inference, how do I recognize further mistakes in the material that might go unnoticed. If I have to double check every concept in the online version of the book, it completely defeats the purpose of owning a hard copy in the first place. Disappointed that I have spent 2500 bucks on this. Please stick to online version, it looks like hardcopies havent been upgraded since 2021.

Il libro è fatto bene e aiuta a consolidare le conoscenze in causal inference.

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