ERRI

ERRI estimates an Economic Resilience and Recovery Index by comparing an observed economic outcome with an estimated no-shock counterfactual trajectory. It reports shock depth, cumulative loss, recovery time, recovery strength, post-shock stability, positive transformation, and a transparent composite index from 0 to 100.

Installation

install.packages("ERRI")

Basic example

library(ERRI)

dat <- erri_example_data()
fit <- erri(
  dat,
  time = "year",
  outcome = "income",
  unit = "region",
  shock_time = 2020,
  method = "trend"
)

fit
plot(fit, type = "trajectory", unit = "North")
plot(fit, type = "index")

uncertainty <- erri_bootstrap(fit, R = 499, seed = 123)
uncertainty
rank_probability(uncertainty)

The index is descriptive unless the shock and counterfactual are identified by a credible research design. Users should report the six components, weighting scheme, sensitivity results, and uncertainty intervals alongside the composite score.