Adding control variables in the deep determinants framework

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Stata introduction on which control variables to add when operating within the framework of deep determinants
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but what about the r2 for linear regression (and pseudo r2 for other regression models such as logistic, poisson, negative binomial) change when more and more control variables are added? also AIC and BIC change to see if a model improves or regress? I couldnt find much information for r2/psuedo-r2 and AIC/BIC change when control variables are introduced to the model. have you got any idea? thnx in advance

serhatakay
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will you please send the link to download the data

TheLovelythakur
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Great video. However my question is that if control variable correlate with dependant and independent variable, wouldnt this lead to multicollinearility

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