Skip to contents

Creates realistic policy stringency data based on COVID-19 response patterns for use in TE-DiD analysis. This function generates synthetic policy data that reflects real-world policy implementation timing and intensity.

Usage

create_policy_data(countries, start_date, end_date, policy_profiles = NULL)

Arguments

countries

Character vector of country codes

start_date

Character string for start date ("YYYY-MM-DD")

end_date

Character string for end date ("YYYY-MM-DD")

policy_profiles

Optional list of custom policy profiles per country

Value

data.frame with columns:

CountryCode

Country identifier

Date

Date of observation

StringencyIndex

Policy stringency index (0-100)

Examples

if (FALSE) { # \dontrun{
countries <- c("USA", "GBR", "DEU", "FRA")
policy_data <- create_policy_data(countries, "2019-01-01", "2021-12-31")
} # }