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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.