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Tidy an att_result object

Source: R/tidy-att_result.R
tidy.att_result.Rd

Returns a tidy data frame of the aggregated ATT estimates from a calc_att() result, in the column format expected by modelsummary::modelsummary() (and therefore renderable with tinytable::tt()). This makes it easy to put overall, by-cohort, or by-time ATTs into a publication table, and to stack several estimators (e.g. run_did() TWFE, CS, and BJS) side by side in one table.

The term column is derived from the aggregation type so that rows align across models:

  • aggregation = "simple" -> "ATT"

  • aggregation = "by_cohort" -> "Cohort <g>"

  • aggregation = "by_time" -> "Time <t>"

Usage

# S3 method for class 'att_result'
tidy(x, conf.int = FALSE, conf.level = 0.95, ...)

Arguments

x

An att_result object returned by calc_att().

conf.int

Logical; add conf.low/conf.high columns? Default FALSE.

conf.level

Confidence level for conf.int (normal approximation). Default 0.95.

...

Unused; for S3 generic compatibility.

Value

A data frame with columns term, estimate, std.error, statistic, p.value (and optionally conf.low, conf.high).

Examples

if (FALSE) { # \dontrun{
att <- calc_att(df, outcome = y, time = year, timing = g, unit = id,
                estimator = "cs", aggregation = "by_cohort")
broom::tidy(att)

# Compare estimators in one table:
twfe <- run_did(df, outcome = y, treatment = D, fe = ~ id + year)
cs   <- calc_att(df, outcome = y, time = year, timing = g, unit = id,
                 estimator = "cs")
bjs  <- calc_att(df, outcome = y, time = year, timing = g, unit = id,
                 estimator = "bjs")
modelsummary::modelsummary(list(TWFE = twfe, CS = cs, BJS = bjs))
} # }