DiSCo_mixture: DiSCo_mixture

In DiSCos: Distributional Synthetic Controls Estimation

DiSCo_mixture

Description

The alternative mixture of distributions approach in the paper

Usage

DiSCo_mixture(controls1, target, grid.min, grid.max, grid.rand, M, simplex)

Arguments

controls1	A list of controls
target	The target unit
grid.min	Minimal value of the grid on which the CDFs are evaluated.
grid.max	Maximal value of the grid on which the CDFs are evaluated.
grid.rand	Random grid on which the CDFs are evaluated.
M	Integer indicating the number of control quantiles to use in the DiSCo method. Default is 1000.
simplex	Logical, indicating whether to use to constrain the optimal weights to the unit simplex. Default is FALSE, which only constrains the weights to sum up to 1 but allows them to be negative.

Value

A list containing the following elements:

• cdf A matrix containing the CDFs of the target and control units evaluated on the grid.

• distance.opt The optimal value of the Wasserstein distance.

• mean The optimal value of the Wasserstein barycenter.

• target.order The target unit, ordered.

• weights.opt The optimal weights.

DiSCos documentation built on Sept. 11, 2024, 6:11 p.m.