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Nonparametric Estimation of a Polarization Measure


Gordon Anderson


University of Toronto

Oliver B. Linton


University of Cambridge

Yoon-Jae Whang


Seoul National University - School of Economics

June 2009

LSE STICERD Research Paper No. EM534

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.

Number of Pages in PDF File: 51

JEL Classification: C12, C13, C14

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Date posted: February 8, 2010  

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: http://ssrn.com/abstract=1547618

Contact Information

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
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