dLagM (version 0.0.8)

koyckDlmForecast: Compute forecasts for Koyck transformation of distributed lag models

Description

A function that computes forecasts for Koyck transformation of distributed lag model with one predictor.

Usage

koyckDlmForecast(model , x , h = 1)

Arguments

model

An object of class lm including the fitted model with koyck.dlm() function.

x

A vector including the new observations of independent time series. This is not restricted to ts objects.

h

The number of ahead forecasts.

Value

forecasts

A vector including forecasts.

Details

This function directly uses the model formula and estimates of model coefficients to find forecast one-by-one starting from the one-step ahead forecast.

Examples

# NOT RUN {
data(warming)
model.koyck = koyckDlm(x = warming$NoMotorVehicles , 
y = warming$Warming , show.summary = TRUE)
koyckDlmForecast(model = model.koyck  , x = c(95, 98, 101), h = 3)
# }