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The acf is clearly declining very slowly in this case, which is consistent with their being an autoregressive part to the appropriate model. The pacf is clearly significant for lags one and two, but the question is does it them become insignificant for lags 2 and 4, indicating an AR(2) process, or does it remain significant, which would be more consistent with a mixed ARMA process? Well, given the huge size of the sample that gave rise to this acf and pacf, even a pacf value of 0.001 would still be statistically significant. Thus an ARMA process is the most likely candidate, although note that it would not be possible to tell from the acf and pacf which model from the ARMA family was more appropriate. The DGP for the data that generated this plot was y_t = 0.9 y_(t-1) - 0.3 u_(t-1) + u_t.
-Suppose you had to guess at the most likely value of a one hundred step-ahead forecast for the AR(2) model given in question 14 - what would your forecast be?
Units Sold
The quantity of products or services sold within a specific period.
Price Increases
The act of raising the cost of products or services, often in response to increased production costs or to leverage market demand.
Prescription Drugs
Medicines that can only be sold to consumers possessing a valid prescription from a healthcare professional.
Spring Break Vacations
Holiday periods typically occurring in early spring where students and families often travel for leisure and relaxation, commonly to warm or tropical destinations.
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