CoreModel.pc_ex(*, scenario: str = 'baseline')

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

\[\begin{split}p_{c,\mathrm{ex}} = \begin{bmatrix} \operatorname{diag}(v_a^{\mathsf{T}}\mathbf{1})s\,w_{cc} \\ \operatorname{diag}(v_c^{\mathsf{T}}\mathbf{1})w_{cc} \end{bmatrix}\end{split}\]

Here each value-added coefficient vector is summed over factor rows before diagonalization. The two blocks are stacked on rows: activity contributors first, then commodity contributors. Column sums recover pc.

This is the aggregated analogue of mc_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 pc.

Return type:

pandas.DataFrame

Notes

For IOT models use p_ex(). For the activity side use pa_ex().

The full baseline result is also available as the property db.pc_ex_all.