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Consistent Nonparametric Entropy-Based Testing Author info | Abstract | Publisher info | Download info | Related research | Statistics Robinson, P M
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The Kullback-Leibler information criterion is used as a basis for one-sided testing of nested hypothesis. No distributional form is assumed, so nonparametric density estimation is used to form that test statistic. In order to obtain a normal null limiting distribution, a form of weighting is employed. The test is also shown to be consistent against a class of alternatives. The exposition focuses on testing for serial independence in time series, with a small application to testing the random walk hypothesis for exchange rate series, and tests of some other hypotheses of econometric interest are briefly described. Copyright 1991 by The Review of Economic Studies Limited.
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Article provided by Blackwell Publishing in its journal Review of Economic Studies .
Volume (Year): 58 (1991)
Issue (Month): 3 (May)
Pages: 437-53
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Handle: RePEc:bla:restud:v:58:y:1991:i:3:p:437-53Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6527
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