Panel Data Regression 9of9 - Hausman Test

[@anelesiyotula5372]

Thank you so much for this series. You have saved my thesis literally.

[@MichaelGauciMT]

Thank you for producing this series. It's a very good introduction to data panel modelling.

[@salmaadnani2931]

Im kinda sad these series has ended , it was really helpful thank you sm

[@PatObi]

Please check out my new series on panel GMM: ua-cam.com/play/PL6Y8SvWdPo08BIszhwcL2jydMgBXMCKwb.html

[@festusndidibuogwuopara8634]

Thanks. Your teaching is really explicit and very helpful

[@okyere-darkoaddai7129]

Thank you, Sir. Your videos have really cleared most of my doubts and have given me a deeper understanding.

[@DANIELNNNORTEYE]

THank you so much for this series. Much helpful

[@PatObi]

You're welcome. Please check out my new panel GMM videos: ua-cam.com/play/PL6Y8SvWdPo08BIszhwcL2jydMgBXMCKwb.html

[@Sarpamus]

I watched all of them. very helpful and explanatory. thank you. I hope you will upload more

[@PatObi]

Thank you. Please check out my new panel GMM videos: ua-cam.com/play/PL6Y8SvWdPo08BIszhwcL2jydMgBXMCKwb.html

[@abdikariimabdullahi9493]

Thank you Sir. I have found these videos to be comprehensive and are quite helpful. Hopefully you will do similar series on dynamic panel estimations.

[@PatObi]

Please check out my playlist on dynamic panel GMM: ua-cam.com/play/PL6Y8SvWdPo08BIszhwcL2jydMgBXMCKwb.html

[@rehanareshie7475]

Thanks is very little thing for ur lectures🎉

[@VSP4591]

Well explained. Thank you.

[@bishalshrestha6087]

Amazingly explained...

[@rabeyabasrirumana8940]

Much appreciated.

[@PatObi]

You're welcome. Please check out my new GMM videos: ua-cam.com/play/PL6Y8SvWdPo08BIszhwcL2jydMgBXMCKwb.html

[@udeshnaburagohain6181]

Sir could you please add videos for dynamic panel estimation

[@PatObi]

That will be published soon. Thanks.

[@GaurangBadheka]

Dear Professor, it is indeed an excellent video series. Extremely useful though concise. I have a question - do we need to check the assumptions of regression when dealing with Panel data (like multicollinearity, autocorrelation, normality, linearity, heteroscedasticity, etc.)?

[@cyberdudecyber]

Thanks for the great series! Would you make a short video on mixed-effects as well?

[@PatObi]

I'll work on it :-)

[@samuelo.binuomote271]

Good morning Prof. Thanks a lot for these series. They really helped my understanding of Panel regression. Please can you assist with GMM panel regression?
Thank you so much sir

[@PatObi]

Please check out my series on GMM panel regression: ua-cam.com/play/PL6Y8SvWdPo08BIszhwcL2jydMgBXMCKwb.html

[@nurudeenyusuff1653]

Thanks for the topic u details
Can u please include Bayesian approach?

[@PatObi]

I'll work on it 🙂

[@moopelokungwane3567]

Good Day Sir, is it possible to compure Random Effect Model on Excell similar to how to how you went about Fixed Effect Model. Excellent presentation of concepts.

[@PatObi]

The inclusion of the GLS parameter in Random Effects estimation makes the use of Excel to be not so easy 🙂

[@kwameamoah5600]

Hi Prof,
Please what does it mean when you get this result?
Can you go ahead and use the fixed effects model?
* Cross-section test variance is invalid. Hausman statistic set to zero.
** WARNING: estimated cross-section random effects variance is zero.
.
Chi-Sq. Statistic is 0.00000
Chi-Sq. d.f. is 3
the prob is 1.0000

[@PatObi]

I'm sorry Kwame, for my late response. Hopefully, you've figured out the issue by now. Please check your dataset and be sure to run FE first, click ESTIMATE on the output and then run RE, and on the RE output, run Hausman test - in that order.

[@danwilbur2366]

Thank you so much for this series. You have saved my thesis literally.