sc_estimator: solving for standard synthetic control weights

In maxkllgg/masc: Matching and Synthetic Controls Estimator

Description

Solves for synthetic control weights up to the designated treatment period.

Usage

sc_estimator(donors, treated, treatment, nogurobi)

Arguments

donors	A TxN matrix of outcome paths for untreated units, each column being a control unit.
nogurobi	A logical value. If true, uses LowRankQP to solve the synthetic control estimator, rather than gurobi.
treated:	A Tx1 matrix of outcomes for the treated unit.
treatment:	An integer. The period T' in which forecasting begins (either the true treatment period or the first period after a cross-validation fold).

Value

A list. The named component weights.sc contains the vector of synthetic control weights. Weights are ordered in the same manner as the columns in donors. The objval.sc component contains the objective value (pre-period fit) of the synthetic control.

References

Kellogg, M., M. Mogstad, G. Pouliot, and A. Torgovitsky. Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation. Working Paper, 2019.

See Also

Other masc functions: cv_masc(), masc_by_phi(), masc(), solve_masc()

maxkllgg/masc documentation built on Sept. 1, 2020, 5:35 p.m.