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https://hdl.handle.net/10419/64673
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sokbae | en |
dc.contributor.author | Song, Kyungchul | en |
dc.contributor.author | Whang, Yoon-Jae | en |
dc.date.accessioned | 2011-03-25 | - |
dc.date.accessioned | 2012-10-16T13:11:03Z | - |
dc.date.available | 2012-10-16T13:11:03Z | - |
dc.date.issued | 2011 | - |
dc.identifier.pi | doi:10.1920/wp.cem.2011.1211 | en |
dc.identifier.uri | http://hdl.handle.net/10419/64673 | - |
dc.description.abstract | This paper develops tests for inequality constraints of nonparametric regression functions. The test statistics involve a one-sided version of Lp-type functionals of kernel estimators. Drawing on the approach of Poissonization, this paper establishes that the tests are asymptotically distribution free, admitting asymptotic normal approximation. Furthermore, the tests have nontrivial local power against a certain class of local alternatives converging to the null at the rate of n-1/2. Some results from Monte Carlo simulations are presented. | en |
dc.language.iso | eng | en |
dc.publisher | |aCentre for Microdata Methods and Practice (cemmap) |cLondon | en |
dc.relation.ispartofseries | |acemmap working paper |xCWP12/11 | en |
dc.subject.jel | C12 | en |
dc.subject.jel | C14 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | Kernel estimation | en |
dc.subject.keyword | one-sided test | en |
dc.subject.keyword | local power | en |
dc.subject.keyword | Lp norm | en |
dc.subject.keyword | Poissonization | en |
dc.title | Testing functional inequalities | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 654843201 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
dc.identifier.repec | RePEc:ifs:cemmap:12/11 | en |
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