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Bias reduction in nonparametric diffusion coefficient estimation

dc.contributor.authorNicolau, João
dc.date.accessioned2023-04-05T15:11:25Z
dc.date.available2023-04-05T15:11:25Z
dc.date.issued2003
dc.description.abstractIn this paper, we quantify the asymptotic bias of the Florens-Zmirou (1993, Journal of Applied Probability 30, 790–804) and Jiang and Knight (1997, Econometric Theory 13, 615–645) estimator for the diffusion coefficient when the step of discretization is fixed, and then we propose a bias adjustment that partially compensates for the distortion. Also, we show that our estimators have all the asymptotic properties of the Florens-Zmirou and Jiang and Knight estimator when the step of discretization goes to zero. We provide some examples.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNicolau, João (2003). “Bias reduction in nonparametric diffusion coefficient estimation”. Econometric Theory, Vol. 19: pp. 754–777. (Search PDF in 2023)pt_PT
dc.identifier.doi10+10170S0266466603195035pt_PT
dc.identifier.issn0266-4666
dc.identifier.urihttp://hdl.handle.net/10400.5/27592
dc.language.isoengpt_PT
dc.publisherCambridge University Presspt_PT
dc.subjectAsynptotic Biaspt_PT
dc.subjectNon-parametric Diffusionpt_PT
dc.subjectCoefficient Estimationpt_PT
dc.titleBias reduction in nonparametric diffusion coefficient estimationpt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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