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Nonparametric Kernel Estimation of Evolutionary Autoregressive Processes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Woocheol | - |
dc.date.accessioned | 2012-11-27T08:07:10Z | - |
dc.date.available | 2012-11-27T08:07:10Z | - |
dc.date.issued | 2012-10 | - |
dc.identifier.citation | Seoul Journal of Economics, Vol.25 No.4, pp. 463-488 | - |
dc.identifier.issn | 1225-0279 | - |
dc.identifier.uri | https://hdl.handle.net/10371/79637 | - |
dc.description.abstract | This paper develops a new econometric tool for evolutionary autoregressive models, where the AR coefficients change smoothly over time. To estimate the unknown functional form of time-varying coefficients, we propose a modified local linear smoother. The asymptotic normality and variance of the new estimator are derived by extending the Phillips and Solo device to the case of evolutionary linear processes. As an application for statistical inference, we show how Wald tests for stationarity and misspecification could be formulated based on the finite-dimensional distributions of kernel estimates. We also examine the finite sample performance of the method via numerical simulations. | - |
dc.language.iso | en | - |
dc.publisher | Institute of Economic Research, Seoul National University | - |
dc.subject | Autoregressive models | - |
dc.subject | Evolutionary linear processes | - |
dc.subject | Local linear fits | - |
dc.subject | Locally stationary processes | - |
dc.subject | Phillips and Solo device | - |
dc.subject | Time-varying coefficients | - |
dc.title | Nonparametric Kernel Estimation of Evolutionary Autoregressive Processes | - |
dc.type | SNU Journal | - |
dc.contributor.AlternativeAuthor | 김우철 | - |
dc.citation.journaltitle | Seoul Journal of Economics | - |
dc.citation.endpage | 488 | - |
dc.citation.number | 4 | - |
dc.citation.pages | 463-488 | - |
dc.citation.startpage | 463 | - |
dc.citation.volume | 25 | - |
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