Unit Root Model Selection
Some limit properties for information based model selection criteria are given in the context of unit root evaluation and various assumptions about initial conditions. Allowing for a nonparametric short memory component, standard information criteria are shown to be weakly consistent for a unit root...
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sg-smu-ink.soe_research-15402018-06-01T03:19:15Z Unit Root Model Selection PHILLIPS, Peter C. B. Some limit properties for information based model selection criteria are given in the context of unit root evaluation and various assumptions about initial conditions. Allowing for a nonparametric short memory component, standard information criteria are shown to be weakly consistent for a unit root provided the penalty coefficient Cn?? and Cn/n?0 as n??. Strong consistency holds when Cn/(log logn)3?? under conventional assumptions on initial conditions and under a slightly stronger condition when initial conditions are infinitely distant in the unit root model. The limit distribution of the AIC criterion is obtained. 2008-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/541 info:doi/10.14490/jjss.38.65 https://ink.library.smu.edu.sg/context/soe_research/article/1540/viewcontent/10.1.1.414.7670.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University AIC consistency model selection nonparametric unit root. Econometrics |
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AIC consistency model selection nonparametric unit root. Econometrics PHILLIPS, Peter C. B. Unit Root Model Selection |
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Some limit properties for information based model selection criteria are given in the context of unit root evaluation and various assumptions about initial conditions. Allowing for a nonparametric short memory component, standard information criteria are shown to be weakly consistent for a unit root provided the penalty coefficient Cn?? and Cn/n?0 as n??. Strong consistency holds when Cn/(log logn)3?? under conventional assumptions on initial conditions and under a slightly stronger condition when initial conditions are infinitely distant in the unit root model. The limit distribution of the AIC criterion is obtained. |
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PHILLIPS, Peter C. B. |
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PHILLIPS, Peter C. B. |
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PHILLIPS, Peter C. B. |
title |
Unit Root Model Selection |
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Unit Root Model Selection |
title_full |
Unit Root Model Selection |
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Unit Root Model Selection |
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Unit Root Model Selection |
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unit root model selection |
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Institutional Knowledge at Singapore Management University |
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2008 |
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https://ink.library.smu.edu.sg/soe_research/541 https://ink.library.smu.edu.sg/context/soe_research/article/1540/viewcontent/10.1.1.414.7670.pdf |
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