Non Parametric Estimation of a Polarization Measure

Gordon Anderson, Oliver Linton and Yoon-Jae Wang

Working Papers from University of Toronto, Department of Economics

Abstract: This paper develops a methodology for nonparametric estimation of a polarization measure due to Anderson Ge and Leo (2006) based on kernel estimation techniques. We give the asymptotic theory of our estimator, which in some cases is non standard due to boundary value problems. 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 finite sample proerties of our estimator by simulation methods. We give an application to the study of polarization in 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)
Pages: 50 pages
Date: 2009-07-30
New Economics Papers: this item is included in nep-ecm and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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https://www.economics.utoronto.ca/public/workingPapers/tecipa-363.pdf Main Text (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: Nonparametric estimation of a polarization measure (2009)
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