Random-Effects Regression in Panel Data Analysis using Stata

[@thecollector5622]

Excellent introduction to Stata, thanks a lot!

[@OppoOppo-kt4uv]

Thanks for your methodological video

[@jameskaburia]

I have been searching for such videos online, thanks for this. As a beginner, it is really helpful.

[@HKTStata]

Glad to hear that

[@MohammedKhan-xh2fd]

Best video on STATA for starters! Highly recommend!

[@СергейСпец]

I have a presentation about this topic tomorrow, great video!

[@HKTStata]

Best of luck!

[@NOWYSZCZYT]

Thanks for giving such a simple and nice explanation about random effects model. have been waiting for this lecture...

[@HKTStata]

You are most welcome

[@bibybob9618]

Perfectly on point, great video

[@protanker3237]

wonderful job explaining the difference and the concepts!

[@khaledaziz7134]

I found learning with this tutorial so enjoyable and helpful! Thank you for your work.

[@huynhanna6840]

Very good, congrats for good explanation.

[@HKTStata]

Thanks and welcome

[@qasimkhan4199]

One of the best video to explain all. Sir, your method is excellent. Please, make more videos 👍

[@HKTStata]

Glad it was helpful!

[@RedmiRedmi-jb3po]

Thanks for the Lectures. Very well explained.

[@HKTStata]

Keep watching

[@johnmh5192]

I love your lessons; it has been very useful for me! Thank you very much.

[@bidima1218]

I enjoyed a lot your session on stata I really appreciated your efforts that you put to carry out this wonderful lecture on stata and you deserve more than my words.

[@HKTStata]

So nice of you

[@biauaswlkp]

I learned a lot from this excellent video .Thank you

[@xtremedesignner]

Fantastic tutorial. Thanks for you effort.

[@christianjacobo5476]

el mejor !

[@HKTStata]

thanks for watching the video :)

[@uberuber4245]

Great video man, you explained it better than my shitty lecturer.

[@anabara6112]

Thank you brother!

[@Souravseye]

good job, you have a new subscriber

[@اخصائىتجميل]

Awesome video, super helpfull and well structured!

[@kerajinantanpabatas9628]

Good job, 👍👍

[@HKTStata]

Thanks 👍

[@willeg1122]

Thank you for all your clear and easy to follow stata instructions! I wonder, is there any method of handeling endogeneity when using a RE-regression method? I am performing a panel data study on multiple countires with one dependent variable and seven undependent variables. My performed tests on the data indicate RE is the appropriate estimation method.
My teacher has told me that there should be issues with endogeneity, and that I need to adjust for this or make sure I explain why I cannot adjust for the issue. Do I strictly have to go FE robust cluster if there are significant probabilities for endogeneity? Any help on the issue would be much appreciated!

[@HKTStata]

Please see doi.org/10.1016/j.indmarman.2017.11.010 and www.statalist.org/forums/forum/general-stata-discussion/general/1595922-endogeneity-in-panel-data

[@turbosova]

Many thanks for the video. It was a great tool for learning more about it. I have a question. What happens if robust RE don't provide p value? Should we just accept RE then or do some post analysis?

[@HKTStata]

Sorry, I don’t really know why; but I think because your sample is too small, or your observations are similar. You must improve first your data.

[@HKTStata]

check also if your data include time-invariant variables; you should remove them.

[@turbosova]

@@HKTStata Many thanks for your help. The problem was with small sample size. It was very helpful.

[@sonjaskoric1585]

Hi Nice audio, how did you record your audio?

[@ffslabel2843]

Best video on STATA for starters! Highly recommend!

[@myikot]

Excellent introduction to Stata, thanks a lot!

[@saffirasad8828]

Thank you brother!

[@briankibiwott6507]

good job, you have a new subscriber

[@NutaBossCrew]

Thank you brother!