- 1 10 Points Consider The Following Time Series Where It Is Quarterly Data In Each And N 0 1 Is Gaussian White Noise 1 (79.97 KiB) Viewed 26 times
the final answer
1. (10 points) Consider the following time series where It is quarterly data in each and N(0,1) is Gaussian white noise. Wt ~ = 7 -1 (a) xt = :.4xt-1 + .1xt-2 – 2xt-3 + Wt (b) Xt = W+Vht, where ht = .2+.5xZ-1 +.4hz-1 +.15h7-2 (c) (1+.3B)(1 – B4)2x+ = (1 – .25B4 +.138)(1+.4B – .2B2)wt (d) xt = .1xt-1 - .05xt-2 + w+ +.3wt-1 (e) Vx+ = V2wt, where V is the usual difference operator t - For each model, specify the correct order as well as the correct model name. For example, you might give an answer like AR(1) or ARMA(2, 2).