odds_ratio_did: Odds-Ratio DiD for Binary Outcomes

In NonlinearDiD: Staggered Difference-in-Differences with Nonlinear Outcomes

Odds-Ratio DiD for Binary Outcomes

Description

Estimates the odds-ratio difference-in-differences (OR-DiD) for binary outcomes. OR-DiD equals 1 under no treatment effect and is invariant to which group is labelled treatment.

Usage

odds_ratio_did(
  data,
  yname,
  tname,
  idname,
  treat_period,
  control_period,
  dname = NULL,
  gname = NULL,
  xformla = ~1
)

Arguments

data	A data frame (long format).
yname	Character. Binary outcome variable name.
tname	Character. Time period variable name.
idname	Character. Unit ID variable name.
treat_period	Numeric. The treatment (post) period.
control_period	Numeric. The pre-treatment baseline period.
dname	Character. Treatment indicator variable name (optional).
gname	Character. Cohort variable name (optional).
xformla	One-sided formula for covariates. Default ~1.

Value

A list of class odds_ratio_did.

Examples

dat <- sim_binary_panel(n = 500, nperiods = 4, prop_treated = 0.5)
dat2 <- dat[dat$period %in% c(2, 3), ]
res <- odds_ratio_did(dat2, "y", "period", "id", 3, 2, gname = "g")
print(res)

NonlinearDiD documentation built on May 6, 2026, 1:06 a.m.