Description Usage Arguments Value References See Also
Solves for synthetic control weights up to the designated treatment period, using only information in the outcome paths (no other covariates).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | sc_estimator(
treated,
donors,
treated.covariates,
donors.covariates,
treatment,
nogurobi = FALSE,
psdtol = 1e+06,
BarConvTol = 1e-08,
BarIterLimit = 1e+05,
sigf.ipop = 5,
margin.ipop = 5e-04,
...
)
|
donors |
See masc. |
nogurobi |
A logical value. If true, uses LowRankQP to solve the synthetic control estimator,
rather than |
treated: |
See masc. |
covariates.donors: |
See masc. |
treated.donors: |
See masc. |
treatment: |
An integer. The period T' in which forecasting begins (either the true treatment period or the first period after a cross-validation fold). |
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 Z0
.
The objval.sc
component contains the objective value (pre-period fit) of the synthetic control.
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.
Other masc functions:
cv_masc()
,
masc_by_phi()
,
masc()
,
solve_masc()
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