A distributed-lag model is a dynamic model in which the effect of a regressor x on y occurs over time rather than all at once. In the simple case of one explanatory variable and a linear relationship. This form is very similar to the infinite-moving-average representation of an ARMA process, except that the lag polynomial on the right-hand side is applied to the explanatory variable x rather than to a white-noise process e. The individual coefficients ßs are called lag weights and the collectively comprise the lag distribution. They define the pattern of how x affects y over time. … Distributed Lag Model

# If you did not already know: “Distributed Lag Model”

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