bacon: Goodman-Bacon Decomposition

In bacondecomp: Goodman-Bacon Decomposition

Description

bacon() is a function that performs the Goodman-Bacon decomposition for differences-in-differences with variation in treatment timing (with or without time-varying covariates).

Usage

bacon(formula, data, id_var, time_var, quietly = F)

Arguments

formula	an object of class "formula": a symbolic representation of the model to be fitted. Must be of the form y ~ D + controls, where y is the outcome variable, D is the binary treatment indicator, and 'controls' can be any additional control variables. Do not include the fixed effects in the formula. If using '.' notation must be of the form y ~ D + . - FE1 - FE2
data	a data.frame containing the variables in the model.
id_var	character, the name of id variable for units.
time_var	character, the name of time variable.
quietly	logical, default = FALSE, if set to TRUE then bacon() does not print the summary of estimates/weights by type (e.g. Treated vs Untreated)

Value

If control variables are included in the formula, then an object of class "list" with three elements:

Omega	a number between 0 and 1, the weight of the within timing group coefficient
beta_hat_w	a number, the within timing group coefficient
two_by_twos	a data.frame with the covariate adjusted 2x2 estimates and weights

If not control variables are included then only the two_by_twos data.frame is returned.

Examples

# Castle Doctrine (Uncontrolled)
df_bacon <- bacon(l_homicide ~ post,
                  data = bacondecomp::castle,
                  id_var = "state",
                  time_var = "year")

# Castle Doctrine (Controlled)
ret_bacon <- bacon(l_homicide ~ post + l_pop + l_income,
                   data = bacondecomp::castle,
                   id_var = "state",
                   time_var = "year")

bacondecomp documentation built on March 26, 2020, 7:24 p.m.