mario.CoreModel.pa_ex#

\[pa_{\mathrm{ex}} = \operatorname{diag}(va 1) w_{aa}\]
CoreModel.pa_ex(*, scenario: str = 'baseline')#

Return activity-side exploded price-index contributions for SUT.

This is the aggregated analogue of ma_ex(): it sums factor rows first and returns activity and commodity contributors stacked on the rows.

Parameters:

scenario – Scenario used to read source matrices.

Returns:

DataFrame whose rows describe the contributing activity or commodity and whose column sums equal pa.

Return type:

pandas.DataFrame

Notes

For IOT models use p_ex(). For the commodity side use pc_ex().