Limit theory for an explosive autoregressive process

Large sample properties are studied for a first-order autoregression (AR(1)) with a root greater than unity. It is shown that, contrary to the AR coefficient, the least-squares (LS) estimator of the intercept and its t-statistic are asymptotically normal without requiring the Gaussian error distribu...

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Bibliographic Details
Main Authors: WANG, Xiaohu, YU, Jun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/soe_research/1619
https://ink.library.smu.edu.sg/context/soe_research/article/2618/viewcontent/Yu_EL_2015.pdf
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Institution: Singapore Management University
Language: English

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