Panel Data Analysis Part 1 | Pooled OLS, Fixed Effect, Random Effect

We discuss different aspects of Panel Data Analysis. We define the panel data, then we differentiate between balanced and unbalanced panel data. Then we discuss pooled ols model and what are the issues with pooled ols model i.e. individual or unobserved heterogeneity. We explore why the fixed effect and random effect are better than pooled ols model. Lastly, we discuss the Breusch Pagan test and Hausman test.
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00:00 Introduction to Panel Data
0:57 What is Panel data
7:08 Pooled OLS Model
12:29 Fixed Effect Model
17:40 Time Fixed Effect
18:48 Random Effect Model
21:32 Decide between Pooled, Fixed, Random Effect
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[@thedatahall]

The following link contains the files used in this video:
payhip.com/b/iR9Tn

[@najmehmoradi5122]

It's really hard to find a word to show my appreciation. Great explanation and insightful. Thank you!

[@thedatahall]

Thanks. Keep sharing

[@tanushreedash5139]

Very nice explanation

[@thedatahall]

Thanks. Keep sharing

[@jagathrohan-kr4nl]

Excellent explanations. Great work. Thank you so much for your clear explanations.

[@thedatahall]

Thanks

[@lpozz18]

Great video, clear and to the point. Thanks!

[@thedatahall]

Thanks

[@user-uo5ez3hm1d]

Thanks a lot

[@carolineogbonne2360]

Thanks for this tutorial.

[@thedatahall]

Welcome

[@leekhammai]

Thanks so much!

[@thedatahall]

Welcome

[@devikasha]

Thanks!

[@thedatahall]

Happy to help

[@nathan_sy]

Thank you for the video! Would it be possible to explain what the "panel effect" means?

[@thedatahall]

Panel effect means that there is individual heterogeneity in the data