As an applied economist, I can assure you that R is wayyy better in terms of statistics than Python. Doing causal models in Python is a real pain because its da

As an applied economist, I can assure you that R is wayyy better in terms of statistics than Python. Doing causal models in Python is a real pain because its data science community is mostly focused on machine learning. Even a robust linear model with IV or fixed effect (which is standard in causal models) is really hard to achieve in Python. Of course this argument is about the libraries and note the core language, but it's a strong argument to stay with R. This argument is also valid outside academics, as more and more data scientists try to adress causality.