did_rcs_data: Prepare data for the DID design with repeated cross-section...

In naoki-egami/DIDdesign: Analyzing and Diagnosing the Difference-in-Differences Design

Prepare data for the DID design with repeated cross-section data

Description

Prepare data for the DID design with repeated cross-section data

Usage

did_rcs_data(
  var_outcome,
  var_treat,
  var_post,
  var_covars = NULL,
  var_cluster = NULL,
  id_time,
  data
)

Arguments

var_outcome	A variable name of the outcome.
var_treat	A variable name of the time-varying treatment.
var_post	A name of a variable to indicate if a unit is observed in the post-treatment periods or not.
var_covars	A vector of variables names used as covariates. This should be left as NULL is no covariates are specified in formula.
id_time	A variable name of the time index.
data	A data frame.

Value

A data frame.

naoki-egami/DIDdesign documentation built on June 4, 2024, 2:59 p.m.