numeraire_dataset.load_gw_view

numeraire_dataset.load_gw_view(*, freq: str = 'monthly', start_date: str = '1926-07-01', end_date: str = '2023-12-31', predictors: list[str] | None = None, horizon: int = 1) → tuple[Any, str]

Goyal-Welch view (excess rp_div + predictors) + data_vintage, ready for VoC/1-A.

Convenience over load_goyal_welch() + to_timeseries_view(); needs the numeraire extra. Return type is the numeraire TimeSeriesView (typed Any to avoid a hard import).