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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
2.56k stars 444 forks source link

adicionando um exemplo ao Fixed-Effects #349

Open LPecht opened 10 months ago

LPecht commented 10 months ago

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 that marriage is increasing with time due to popularity of relationship apps, such as Tinder and Happn."