Skip to contents

Synthetic control for a treated institution

Source: R/did.R
sm_synth.Rd

Builds the unit-by-time outcome panel for a treated institution against a donor pool and estimates a synthetic control using the optional tidysynth package. The dependency is kept in Suggests; when it is not installed an informative error explains how to install it.

Usage

sm_synth(
  corpus,
  treated,
  donors,
  intervention_year,
  outcome = c("count", "share_q1", "cnci", "leadership"),
  call = rlang::caller_env()
)

# S3 method for class 'sm_synth'
print(x, ...)

Arguments

corpus

An sm_corpus with institution-attribution columns.

treated

A single institution label (the treated unit).

donors

Character vector of donor-pool institution labels.

intervention_year

Integer year the intervention takes effect.

outcome

One of "count", "share_q1", "cnci", "leadership".

call

Caller environment for error reporting.

x

An sm_synth object.

...

Ignored.

Value

An sm_synth S3 object wrapping the fitted tidysynth object (synth), the long panel (panel), and metadata.

print returns x invisibly.

See also

sm_did()

Other causal: sm_did(), sm_its()

Examples

corpus <- sm_example_corpus(n_works = 300, seed = 1)
corpus$authorships$institution_name <- sample(
  c("A", "B", "C", "D"), nrow(corpus$authorships), replace = TRUE)
synth <- sm_synth(corpus, treated = "A", donors = c("B", "C", "D"),
                  intervention_year = 2020, outcome = "count")