nazlialagoz

# Install and load the required packages
# devtools::install_github("synth-inference/synthdid")
library(synthdid)
library(ggplot2)
library(fixest) # Fixed-effects regression
library(data.table)

# Set seed for reproducibility
set.seed(12345)

nazlialagoz

# Simulation study for the DiD article: 

rm(list = ls())
library(data.table)
library(fastDummies) # Create dummy variables
library(fixest) # Fixed-effects regression
library(kableExtra) # Make nice tables
library(bacondecomp) # Goodman-Bacon Decomposition
library(did) # Difference-in-differences

nazlialagoz

# Simulate the data 


# The simulaiton part of the code is adapted from Andrew Baker's awesome blog: 
# https://andrewcbaker.netlify.app/2020/06/27/how-to-create-relative-time-indicators/
# Also see a relevant package and blog by Sant'Anna & Callaway: 
# https://bcallaway11.github.io/did/articles/pre-testing.html

rm(list = ls())
library(data.table)

nazlialagoz

# Simulation study for the Medium article: 
# Event Studies for Causal Inference: The Dos and Don'ts -
# A guide to avoiding the common pitfalls of event studies

# This code simulates a panel dataset and then runs event studies 
# Different scenarios are created to demonstrate pitfalls of event studies
# The simulaiton part of the code is adapted from Andrew Baker's awesome blog: 
# https://andrewcbaker.netlify.app/2020/06/27/how-to-create-relative-time-indicators/
# Also see a relevant package and blog by Sant'Anna & Callaway: