Nonparametric Estimation of a Polarization Measure

Gordon Anderson, Oliver Linton and Yoon-Jae Whang

STICERD - Econometrics Paper Series from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

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

Keywords: Kernel Estimation; Inequality; Overlap coefficient; Poissonization (search for similar items in EconPapers)
JEL-codes: C12 C13 C14 (search for similar items in EconPapers)
Date: 2009-06
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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https://sticerd.lse.ac.uk/dps/em/em534.pdf (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:cep:stiecm:534

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