panel_pooled
Perform a Pooled coefficient estimator regression on panel data.
The Pooled coefficient estimator for regression analysis on panel data is treating the data as a large cross-section without distinguishing between variations across time or entities (such as individuals, companies, or countries). By assuming that the explanatory variables (x_columns) have a uniform effect on the dependent variable (y_column) across all entities and time periods, this method simplifies the analysis and provides a generalized view of the relationships within the data.
Parameters
- standard
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.