Rank tests for unit roots
In order to obtain exact distributional results without imposing restrictive parametric assumptions, several rank counterparts of the Dickey-Fuller statistic are considered. In particular, a rank counterpart of the score statistic is suggested which appears to have attractive theoretical properties....
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Veröffentlicht in: | Journal of econometrics 1997-11, Vol.81 (1), p.7-27 |
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container_title | Journal of econometrics |
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creator | Breitung, Jörg Gouriéroux, Christian |
description | In order to obtain exact distributional results without imposing restrictive parametric assumptions, several rank counterparts of the Dickey-Fuller statistic are considered. In particular, a rank counterpart of the score statistic is suggested which appears to have attractive theoretical properties. Assuming i.i.d. errors, an exact test is obtained for a random walk model with drift and under assumptions similar to Phillips and Perron (1988) the test is asymptotically valid. In a Monte Carlo study the rank tests are compared with their parametric counterparts. |
doi_str_mv | 10.1016/S0304-4076(97)00031-6 |
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source | RePEc; ScienceDirect Journals (5 years ago - present) |
subjects | Distribution Dynamic models Econometrics Mathematical models Modelling Monte Carlo simulation Non-linear models Nonlinear models Outliers Random walk theory Rank tests Studies Unit roots |
title | Rank tests for unit roots |
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