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📖 Repo pour le manuel "Machine Learning pour l'économétrie"

Home Page: https://www.economica.fr/machine-learning-pour-leconometrie-c2x40149680

Jupyter Notebook 82.43% Shell 0.12% R 16.47% Python 0.98%

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ml_econometrie's Issues

Parameter setting

I would like to ask three questions:1. Why you set 'x.lag=9'? "paymes" and "cfnia" are monthly,but "ads" is daily. How the lag of variables affects model results?
2. For me, Monthly_Topic_Attention_Theta for China is not available,I wonder if the model can still be applied without this part of the data(Is it still a high-dimensional situation after removing the data?)
3. Why you don't use"legendre_degree "? and the "gindex" setting,why you code " gindex=c(1,2,3,4);gindex = c(gindex,rep(5,9*3))"?
I am wondering if you could kindly send me the source data-"Monthly_Topic_Attention_Theta.csv " I promise they will be used only for research purposed.THANK YOU!

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