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panel_first_difference

Perform a first-difference estimate for panel data.

The First-Difference estimator for panel data analysis is focusing on the changes between consecutive observations for each entity (such as individuals, companies, or countries). By differencing the data, this method effectively removes entity-specific effects that are constant over time, allowing for the examination of the impact of changes in explanatory variables (x_columns) on the change in the dependent variable (y_column).

Parameters

data: list[openbb_core.provider.abstract.data.Data]

Input dataset.

Optional: False


y_column: str

Target column.

Optional: False


x_columns: list[str]

list of columns to use as exogenous variables.

Optional: False


Returns

results: list[dict]

Serializable results.


provider: None

Provider name.


warnings: Optional[list[Warning_]]

list of warnings.


chart: Optional[Chart]

Chart object.


extra: dict[str, Any]

Extra info.


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