Summarize a synthdid object
Usage
# S3 method for class 'synthdid_estimate'
summary(
object,
weight.digits = SYNTHDID_WEIGHT_DIGITS_DEFAULT,
fast = FALSE,
...
)Examples
# \donttest{
data(california_prop99)
setup <- panel.matrices(california_prop99)
tau.hat <- synthdid_estimate(setup$Y, setup$N0, setup$T0)
# Detailed summary with standard error
summary(tau.hat)
#> Treatment Effect Estimate:
#> Estimate
#> treated -15.6 NA NA NA
#>
#> Dimensions:
#> Value
#> Treated units: 1.000
#> Control units: 38.000
#> Effective controls: 16.388
#> Post-treatment periods: 12.000
#> Pre-treatment periods: 19.000
#> Effective periods: 2.784
#>
#> Top Control Units (omega weights):
#> Weight
#> Nevada 0.124
#> New Hampshire 0.105
#> Connecticut 0.078
#> Delaware 0.070
#> Colorado 0.058
#>
#> Top Time Periods (lambda weights):
#> Weight
#> 1988 0.427
#> 1986 0.366
#> 1987 0.206
#>
#> Convergence Status:
#> Overall: NOT CONVERGED
#> Lambda: ✗ (10000/10000 iterations, 100.0% utilization)
#> Omega: ✗ (10000/10000 iterations, 100.0% utilization)
#>
#> Recommendation: Consider increasing max.iter or relaxing min.decrease.
#> Use synthdid_convergence_info() for detailed diagnostics.
# Fast summary (uses jackknife instead of bootstrap)
summary(tau.hat, fast = TRUE)
#> Treatment Effect Estimate:
#> Estimate
#> treated -15.6 NA NA NA
#>
#> Dimensions:
#> Value
#> Treated units: 1.000
#> Control units: 38.000
#> Effective controls: 16.388
#> Post-treatment periods: 12.000
#> Pre-treatment periods: 19.000
#> Effective periods: 2.784
#>
#> Top Control Units (omega weights):
#> Weight
#> Nevada 0.124
#> New Hampshire 0.105
#> Connecticut 0.078
#> Delaware 0.070
#> Colorado 0.058
#>
#> Top Time Periods (lambda weights):
#> Weight
#> 1988 0.427
#> 1986 0.366
#> 1987 0.206
#>
#> Convergence Status:
#> Overall: NOT CONVERGED
#> Lambda: ✗ (10000/10000 iterations, 100.0% utilization)
#> Omega: ✗ (10000/10000 iterations, 100.0% utilization)
#>
#> Recommendation: Consider increasing max.iter or relaxing min.decrease.
#> Use synthdid_convergence_info() for detailed diagnostics.
# }