Nonparametric Estimation of a Polarization Measure

Anderson, Gordon; Linton, Oliver B.; Whang, Yoon-Jae

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Nonparametric Estimation of a Polarization Measure

LSE STICERD Research Paper No. EM534

51 Pages Posted: 8 Feb 2010

See all articles by Gordon Anderson

Yoon-Jae Whang

Seoul National University - School of Economics

There are 2 versions of this paper

Date Written: June 2009

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 Classification: C12, C13, C14

Suggested Citation: Suggested Citation

Anderson, Gordon John and Linton, Oliver B. and Whang, Yoon-Jae, Nonparametric Estimation of a Polarization Measure (June 2009). LSE STICERD Research Paper No. EM534, Available at SSRN: https://ssrn.com/abstract=1547618