create_diff_df: Creates the 'empty_diff_df.csv'

In undidR: Difference-in-Differences with Unpoolable Data

Creates the empty_diff_df.csv

Description

Creates the empty_diff_df.csv which lists all of the differences that need to calculated at each silo in order to compute the aggregate ATT. The empty_diff_df.csv is then to be sent out to each silo to be filled out.

Usage

create_diff_df(
  init_filepath,
  date_format,
  freq,
  covariates = FALSE,
  freq_multiplier = FALSE,
  weights = "standard",
  filename = "empty_diff_df.csv",
  filepath = tempdir()
)

Arguments

init_filepath	A character filepath to the init.csv.
date_format	A character specifying the date format used in the init.csv. Call undid_date_formats() to see a list of valid date formats.
freq	A character indicating the length of the time periods to be used when computing the differences in mean outcomes between periods at each silo. Options are: "yearly", "monthly", "weekly", or "daily".
covariates	A character vector specifying covariates to be considered at each silo. If FALSE (default) uses covariates from the init.csv.
freq_multiplier	A numeric value or FALSE (default). Specify if the frequency should be multiplied by a non-zero integer.
weights	A character indicating the weighting to use in the case of common adoption. The "standard" (default) weight is calculated as w_s = \frac{N_s^{\text{post}}}{N_s^{\text{post}} + N_s^{\text{pre}}}. Options are: "standard".
filename	A character filename for the created CSV file. Defaults to "empty_diff_df.csv"
filepath	Filepath to save the CSV file. Defaults to tempdir().

Details

Ensure that dates in the init.csv are entered consistently in the same date format. Call undid_date_formats() to see a list of valid date formats. Covariates specified when calling create_diff_df() will override any covariates specified in the init.csv.

Value

A data frame detailing the silo and time combinations for which differences must be calculated in order to compute the aggregate ATT. A CSV copy is saved to the specified directory which is then to be sent out to each silo.

Examples

file_path <- system.file("extdata/staggered", "init.csv",
                         package = "undidR")
create_diff_df(
  init_filepath = file_path,
  date_format = "yyyy",
  freq = "yearly"
)
unlink(file.path(tempdir(), "empty_diff_df.csv"))

undidR documentation built on April 3, 2025, 5:42 p.m.