The impact multiplier (propensity) is equal to the intercept.

The standard error of the long-run multiplier in the finite

distributed lag model is calculated as the sum of the standard errors of the

individual effects in the model.

The finite distributed lag model is designed to capture the

relationship between the dependent variable and lagged values of explanatory

variables.

The impact multiplier is typically less accurately estimated

due to multicollinearity issues than the long-run multiplier.