Gordon Anderson (Institute for Fiscal Studies and University of Toronto) Oliver Linton () (Institute for Fiscal Studies and London School of Economics) Yoon-Jae Whang (Institute for Fiscal Studies and Seoul National University)
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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.
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number
CWP14/09.
Length: Date of creation: Jun 2009 Date of revision: Handle: RePEc:ifs:cemmap:14/09
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