Nonparametric estimation of a polarization measure

Gordon Anderson, Oliver Linton () and Yoon-Jae Whang ()
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Gordon Anderson: Institute for Fiscal Studies and University of Toronto
Oliver Linton: Institute for Fiscal Studies and London School of Economics

No CWP14/09, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract:

This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution theory of our estimator, which in some cases is nonstandard due to a boundary value problem. We also propose a method for conducting inference based on estimation of unknown quantities in the limiting distribution and show that our method yields consistent inference in all cases we consider. We investigate the finite sample properties of our methods by simulation methods. We give an application to the study of polarization within China in recent years.

New Economics Papers: this item is included in nep-ltv
Date: 2009-06
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Related works:
Working Paper: Nonparametric Estimation of a Polarization Measure (2009)
Working Paper: Nonparametric estimation of a polarization measure (2009)
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Persistent link: http://EconPapers.repec.org/RePEc:ifs:cemmap:14/09

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