Consider an AR(2) time series model of growth in real per capita GDP is given as: (1-0.805L-0.1215L²)x= 0.134+ at, where L is the lag operator and {a} are iid N(0, 1) variables. Is x, stationary? Why? If it is stationary, calculate E(x), the mean of xt.

Algebra & Trigonometry with Analytic Geometry
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ISBN:9781133382119
Author:Swokowski
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Chapter5: Inverse, Exponential, And Logarithmic Functions
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Consider an AR(2) time series model of growth in real per capita GDP is given as:
(1-0.805L-0.1215L²)xt = 0.134 + at, where L is the lag operator and {at} are iid N(0,
1) variables. Is xt stationary? Why? If it is stationary, calculate E(xt), the mean of xt.
Transcribed Image Text:Consider an AR(2) time series model of growth in real per capita GDP is given as: (1-0.805L-0.1215L²)xt = 0.134 + at, where L is the lag operator and {at} are iid N(0, 1) variables. Is xt stationary? Why? If it is stationary, calculate E(xt), the mean of xt.
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