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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/3733

Google™ Scholar. Others By: Ferretti, Nélida - Romo, Juan
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Title: Bootstrap tests for unit root AR(1) models
Author(s): Ferretti, Nélida
Romo, Juan
Publisher: Universidad Carlos III de Madrid. Departamento de Estadística
Issued date: Oct-1993
URI: http://hdl.handle.net/10016/3733
Abstract: In this paper, we propose bootstrap tests for unit roots in first-order autoregressive models. We provide the bootstrap functional limit theory needed to prove the asymptotic validity of these tests both for independent and autoregressive errors; in this case, the usual corrections due to innovations dependence can be avoided. We also present a power empirical study comparing these tests with existing alternative methods.
Serie / Nº.: UC3M Working Papers. Statistics and Econometrics
1993-22-17
Keywords: Autoregressive processes
Bootstrapping least squares estimator
Unit root
Bootstrap invariance principle
Appears in Collections:DES - Working Papers. Statistics and Econometrics. WS

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