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This work investigates the behavior of the sample variance of an explosive random coefficient autoregressive process yt=(a+ut)yt−1+εt. It is shown that the simulated sample variance has a distribution when a2<1 and a2+σu2=1. Moreover, the variance of yt when a=−1 is found to be three times larger as compared with the case where a=1.
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