Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/64792
Authors: 
Anderson, Gordon
Linton, Oliver
Whang, Yoon-Jae
Year of Publication: 
2009
Series/Report no.: 
cemmap working paper CWP14/09
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.
Subjects: 
Kernel Estimation
Inequality
Overlap coefficient
Poissonization
JEL: 
C12
C13
C14
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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