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: ForwardRef('Data') | ForwardRef('DataFrame') | ForwardRef('Series') | ForwardRef('ndarray') | dict | list
y_column: str
x_columns: list[str]

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Returns

results: dict

Serializable results.

provider: str

Provider name.

warnings: Optional[list[Warning_]]

list of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

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