Distributed lag: Difference between revisions
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In [[statistics]] a '''distributed lag''' model explains a [[time series]] by a series of [[lag]]s of the same variable. |
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In general <math>y_t=\sum \beta_i y_{t-i} +\epsilon_t</math>, where <math>y_t</math> is the time series and <math>\epsilon</math> is the error. |
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****** loves ROCCO!!!!!! |