postshock: Donor-Adjusted Post-Shock Forecasting
Implements donor-adjusted methods for forecasting conditional
means and variances after structural shocks. Historical donor episodes
are weighted using covariates observed before each shock, and their
estimated post-shock effects are combined with forecasts from a
target-series model. The methods build on Lin and Eck (2021)
<doi:10.1016/j.ijforecast.2021.03.010>. The package supports donor
balancing weights, structured donor pools, autoregressive integrated
moving average models, and generalized autoregressive conditional
heteroscedasticity models with external regressors.
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