Synthetic Purposive Sampling Estimator for the Average-Site ATE

Usage

sps_estimator(
  out = NULL,
  estimates_selected = NULL,
  subgroup = NULL,
  X = NULL,
  selected_sites = NULL
)

Arguments

out: Output from function sps()
estimates_selected: data.frame with two columns: the first column represents estimates of the site-specific ATEs for the selected sites and the second column represents its corresponding standard error. The number of rows is equal to the number of the selected sites and rownames(estimates_selected) should be names of the selected sites.
subgroup: (Optional. Default = NULL). A vector that defines subgroups to estimate the subgroup average-site ATE. The length and order of subgroup should be equal to the rows in X used to get output out with function sps().
X: (Optional. Use this only when sites are not selected based on sps(). Default = NULL) Site-level variables for the target population of sites. Row names should be names of sites.
selected_sites: (Optional. Use this only when sites are not selected based on sps(). Default = NULL) Names of sites users selected. This should be a subset of rownames(X).

Value

sps_estimator returns an object of sps_estimator class.

average_site_ATE: An estimate of the average-site ATE and its corresponding standard error.
site_specific_ATE: Estimates and standard errors for the site-specific ATEs in non-selected sites.
bet_se: Estimated between-site standard errors.

References

Egami and Lee. (2023+). Designing Multi-Context Studies for External Validity: Site Selection via Synthetic Purposive Sampling. Available at https://naokiegami.com/paper/sps.pdf.