Nonparametric Estimation of a Polarization Measure
University of Toronto
Oliver B. Linton
University of Cambridge
Seoul National University - School of Economics
LSE STICERD Research Paper No. EM534
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, C14working papers series
Date posted: February 8, 2010
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