Multiple Regression Model in Stata

Multiple Regression Model in Stata
sites.google.com/site/econome...
Stata program: Multiple Regression Model.do
drive.google.com/file/d/1Vjsf...
Data files:
wage1.dta
drive.google.com/file/d/1xJ5D...
CEOSAL1.dta
drive.google.com/file/d/1N4M8...
HTV.dta
drive.google.com/file/d/1F1Fu...
elemapi2.dta
drive.google.com/file/d/1mLkx...
Timestamps:
00:00 Multiple Regression Model in Stata
01:13 Multiple regression
05:54 Partialling out
09:23 Goodness of fit (R-squared and adjusted R-squared)
18:49 Perfect collinearity
22:07 Multicollinearity using VIF
27:19 Omitted variable bias
35:38 Variance in misspecified models
37:16 Homoscedasticity and heteroscedasticity
Econometrics Academy:
sites.google.com/site/econome...

[@adanewubet6082]

Hi, professor Ani, Thank you very much for your valuable support. I am continuously used your lecturing videos and I am so proud with your help. I helped me to improve my econometric knowledge. I am Masters student in Agricultural Economics. Currently, I am in thesis work and I want to know about the Endogenous Switching Regression Model. Can please help me??
Thank you so much again.

[@ewnetkassa5064]

Thank you very much. It is very helpful

[@kevinsoffice1523]

Hi Ani, I'm new to all this econometrics/statistic field... first of all, let me thanking you for such enlightening video! You have helped me understand a lot, more than what I understand in the classroom :)
I have some questions though, in your log-log regression, the adjusted r-square is improved a lot (so much that it passed the rule of thumb of 25% is considered as good fit); my first question is are we allowed to use log as we pleased or is there any condition or criteria for using log and for when to not use log? My second question is, how does it infere when we are drawing a managerial conclusion? If without log, I can say sales influence salary, but with log, how does that actually means?
Thank you so much in advance!