--- title: fdols description: This documentation page provides information on First Differencing (fdols) - an alternative to using fixed effects when there is possible correlation. It contains the source code link, explanation of parameters and return details. keywords: - First Differencing - fdols - Fixed effects - Dependent variable - Independent variable - Regression variables - OLS model --- import HeadTitle from '@site/src/components/General/HeadTitle.tsx'; First differencing is an alternative to using fixed effects when there might be correlation. Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/econometrics/regression_model.py#L399)] ```python openbb.econometrics.fdols(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,
First Difference OLS model | ---