The effect of nonparsimonious time series models is studied by deriving the approximate variance of the one-step-ahead forecast error. Also, in a simulation experiment we show the loss in forecast accuracy that can result when a first-order moving-average model is approximated by a nonparsimonious autoregressive model.
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Ledolter et al. (1981) studied this question.
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