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Sample Policy Data

Source: R/data.R
sample_policy_data.Rd

A sample dataset containing COVID-19 policy stringency indices for major countries from January 2019 to December 2021, based on realistic policy response patterns.

Usage

sample_policy_data

Format

A data frame with 6,570 observations and 3 variables:

CountryCode

Character. ISO3 country codes (USA, GBR, DEU, FRA, JPN, AUS)

Date

Date. Daily dates from 2019-01-01 to 2021-12-31

StringencyIndex

Numeric. Policy stringency index (0-100 scale)

Details

This synthetic dataset reflects realistic COVID-19 policy response patterns, including early adopters (faster policy implementation) and late adopters (slower policy response). The data can be used to demonstrate policy evaluation using the TE-DiD framework.

Policy patterns include:

  • Early adopters: AUS, DEU (March 1-8, 2020)

  • Moderate adopters: FRA, JPN (March 10-15, 2020)

  • Late adopters: GBR, USA (March 18-22, 2020)

Examples

if (FALSE) { # \dontrun{
data(sample_policy_data)
head(sample_policy_data)

# Policy evolution by country
library(ggplot2)
ggplot(sample_policy_data, aes(x = Date, y = StringencyIndex, color = CountryCode)) +
  geom_line() +
  theme_minimal()
} # }