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45 lines
1.9 KiB
Markdown
Vendored
45 lines
1.9 KiB
Markdown
Vendored
---
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title: panel
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description: The documentation page provides a comprehensive guide to performing regression
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analysis on Panel Data using the 'panel' command in Python. It includes information
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about the usage, command parameters and the type of regression analysis you can
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perform.
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keywords:
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- panel data regression
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- data analysis
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- regression analysis
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- Pooled OLS
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- Random Effects
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- Between OLS
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- Fixed Effects
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- First Difference OLS
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- entity effects
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- time effects
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="econometrics /panel - Reference | OpenBB Terminal Docs" />
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Performs regression analysis on Panel Data. There are a multitude of options to select from to fit the needs of restrictions of the dataset.
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### Usage
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```python
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panel -d DEPENDENT -i INDEPENDENT [-r {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS}] [-e] [-t]
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```
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---
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## Parameters
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| Name | Description | Default | Optional | Choices |
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| ---- | ----------- | ------- | -------- | ------- |
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| dependent | The dependent variable on the regression you would like to perform | None | False | None |
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| independent | The independent variables on the regression you would like to perform. E.g. wage_panel.married,wage_panel.union | None | False | None |
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| type | The type of regression you wish to perform. This can be either pols (Pooled OLS), re (Random Effects), bols (Between OLS), fe (Fixed Effects) or fdols (First Difference OLS) | pols | True | pols, re, bols, fe, fdols, POLS, RE, BOLS, FE, FDOLS |
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| entity_effects | Using this command creates entity effects, which is equivalent to including dummies for each entity. This is only used within Fixed Effects estimations (when type is set to 'fe') | False | True | None |
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| time_effects | Using this command creates time effects, which is equivalent to including dummies for each time. This is only used within Fixed Effects estimations (when type is set to 'fe') | False | True | None |
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---
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