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Summary - Panel Data

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This summary provides a good explanation of the panel data. It goes into explaining the meaning of panel data, how to deal with panel data regressions, pooled regressions with examples from the class, fixed effects, time and firm fixed effects and random effects model. It explains the within and between estimator, the interpretation of the models, the Hausman test together with the interpretation of the stata table, some exam questions, and at the end it goes into the clustered standard errors. This summary helps you go through the material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It helps also if you did not watch the weblecture, because you can find here everything what he talked about.

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Uploaded on
December 11, 2017
Number of pages
15
Written in
2017/2018
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Summary

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, - Panel data gives you more reliability because you have more data.
- You can further ask more detailed questions.




- In the balanced panel data all the observations are there. In the unbalanced panel data,
it is otherwise.
- In reality, it is very unlikely that we will have a balanced panel data.
- If observations are missing then we can infer, use imputation. (skip this for the exam).

How to deal with panel data regressions




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