Download this Paper Open PDF in Browser

Nonparametric Estimation of a Polarization Measure

51 Pages Posted: 8 Feb 2010  

Gordon Anderson

University of Toronto

Oliver B. Linton

University of Cambridge

Yoon-Jae Whang

Seoul National University - School of Economics

Multiple version iconThere 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

Anderson, Gordon 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

Gordon John Anderson (Contact Author)

University of Toronto ( email )

150 St. George Street
Toronto, Ontario M5S 3G7
Canada

Oliver B. Linton

University of Cambridge ( email )

Faculty of Economics
Cambridge, CB3 9DD
United Kingdom

Yoon-Jae Whang

Seoul National University - School of Economics ( email )

San 56-1, Silim-dong, Kwanak-ku
Seoul 151-742
Korea
+82 2 80 6362 (Phone)
+82 2 86 4231 (Fax)

HOME PAGE: http://plaza.snu.ac.kr/~whang

Paper statistics

Downloads
81
Rank
257,437
Abstract Views
495