compute_variance_components: Compute Variance Components for CIC Inference
In sccic: Synthetic Control Changes-in-Changes Estimator
compute_variance_components R Documentation
Compute Variance Components for CIC Inference
Description
Implements the analytic asymptotic variance from Theorem 5.1 of
Athey and Imbens (2006). The variance has four components corresponding
to the four group-period subsamples.
Usage
compute_variance_components(y_00, y_01, y_10, y_11, ecdfs)
Arguments
y_00, y_01, y_10, y_11
Numeric vectors of outcomes for each
group-period combination (raw observations, not unique values).
ecdfs
List of empirical CDF objects from make_ecdf.
Value
A list with components V_p, V_q, V_r,
V_s.
sccic documentation built on April 10, 2026, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| compute_variance_components | R Documentation |
Compute Variance Components for CIC Inference
Description
Implements the analytic asymptotic variance from Theorem 5.1 of Athey and Imbens (2006). The variance has four components corresponding to the four group-period subsamples.
Usage
compute_variance_components(y_00, y_01, y_10, y_11, ecdfs)
Arguments
y_00, y_01, y_10, y_11 |
Numeric vectors of outcomes for each group-period combination (raw observations, not unique values). |
ecdfs |
List of empirical CDF objects from |
Value
A list with components V_p, V_q, V_r,
V_s.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.