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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

1.5 KiB
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title, description, keywords
title description keywords
re This page provides a detailed look into the Random Effects Model developed by OpenBB. It covers the parameters involved such as regression variables and data sets, the return type, and a link is provided to access the source code, making it a valuable resource for any data scientist interested in econometrics.
random effects model
regression variables
data science
Python code
econometrics
pooled OLS model
independent variable
dependent variable
dataset
github

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

The random effects model is virtually identical to the pooled OLS model except that is accounts for the

Source Code: [link]

openbb.econometrics.re(Y: pd.DataFrame, X: pd.DataFrame)

Parameters

Name Type Description Default Optional
regression_variables list The regressions variables entered where the first variable is
the dependent variable.
None True
data dict A dictionary containing the datasets. None True

Returns

Type Description
Tuple[DataFrame, Any, List[Any], Any] The dataset used,
Dependent variable,
Independent variable,
RandomEffects model