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dc.contributor.authorJuhl, Ted P.
dc.contributor.authorXiao, Zhijie
dc.date.accessioned2014-07-10T13:22:16Z
dc.date.available2014-07-10T13:22:16Z
dc.date.issued2013-02-01
dc.identifier.citationTed Juhl and Zhijie Xiao. (2013). Nonparametric Tests of Moment Condition Stability. Econometric Theory 29(1):91-114. http://dx.doi.org/10.1017/S0266466612000151
dc.identifier.issn0266-4666
dc.identifier.urihttp://hdl.handle.net/1808/14682
dc.descriptionThis is the publisher's version, also available electronically from http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8832413&fileId=S0266466612000151
dc.description.abstractThis paper considers testing for moment condition instability for a wide variety of models that arise in econometric applications. We propose a nonparametric test based on smoothing the moment conditions over time. The resulting test takes the form of a U-statistic and has a limiting normal distribution. The proposed test statistic is not affected by changes in the distribution of the data, so long as certain simple regularity conditions hold. We examine the performance of the test through a small Monte Carlo experiment.
dc.publisherCambridge University Press
dc.titleNonparametric Tests of Moment Condition Stability
dc.typeArticle
kusw.kuauthorJuhl, Ted
kusw.kudepartmentEconomics
kusw.oastatusfullparticipation
dc.identifier.doi10.1017/S0266466612000151
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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