Nonparametric estimation of a polarization measure

Gordon Anderson, Oliver Linton and Yoon-Jae Whang

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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.

JEL-codes: C12 C13 C14 (search for similar items in EconPapers)
Pages: 46 pages
Date: 2009-06
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://eprints.lse.ac.uk/25378/ Open access version. (application/pdf)

Related works:
Working Paper: Nonparametric Estimation of a Polarization Measure (2009)
Working Paper: Nonparametric estimation of a polarization measure (2009)
Working Paper: Nonparametric Estimation of a Polarization Measure (2009)
Working Paper: Nonparametric estimation of a polarization measure (2009)
Working Paper: Non Parametric Estimation of a Polarization Measure (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:25378

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