Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64712 
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dc.contributor.authorChen, Le-Yuen
dc.contributor.authorSzroeter, Jerzyen
dc.date.accessioned2012-07-27-
dc.date.accessioned2012-10-16T13:08:57Z-
dc.date.available2012-10-16T13:08:57Z-
dc.date.issued2012-
dc.identifier.pidoi:10.1920/wp.cem.2012.1612en
dc.identifier.urihttp://hdl.handle.net/10419/64712-
dc.description.abstractThis paper proposes a class of origin-smooth approximators of indicators underlying the sum-of-negative-part statistic for testing multiple inequalities. The need for simulation or bootstrap to obtain test critical values is thereby obviated. A simple procedure is enabled using fixed critical values. The test is shown to have correct asymptotic size in the uniform sense that supremum finite-sample rejection probability over null-restricted data distributions tends asymptotically to nominal signficance level. This applies under weak assumptions allowing for estimator covariance singularity. The test is unbiased for a wide class of local alternatives. A new theorem establishes directions in which the test is locally most powerful. The proposed procedure is compared with predominant existing tests in structure, theory and simulation.en
dc.language.isoengen
dc.publisher|aCentre for Microdata Methods and Practice (cemmap) |cLondonen
dc.relation.ispartofseries|acemmap working paper |xCWP16/12en
dc.subject.jelC1en
dc.subject.jelC4en
dc.subject.ddc330en
dc.subject.keywordTesten
dc.subject.keywordMultiple inequalitiesen
dc.subject.keywordOne-sided hypothesisen
dc.subject.keywordComposite nullen
dc.subject.keywordBinding constraintsen
dc.subject.keywordAsymptotic exactnessen
dc.subject.keywordCovariance singularityen
dc.subject.keywordIndicator smoothingen
dc.titleTesting multiple inequality hypotheses: A smoothed indicator approach-
dc.typeWorking Paperen
dc.identifier.ppn720226937en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:ifs:cemmap:16/12en

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