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BY 4.0 license Open Access Published by De Gruyter Open Access August 29, 2011

Polarization Measurement and Inference in Many Dimensions When Subgroups Can Not Be Identified

  • Gordon Anderson EMAIL logo
From the journal Economics

Abstract

The most popular general univariate polarization indexes for discrete and continuous variables are extended and combined to describe the extent of polarization between agents in a distribution defined over a collection of many discrete and continuous agent characteristics. A formula for the asymptotic variance of the index is also provided. The implementation of the index is illustrated with an application to Chinese urban household data drawn from six provinces in the years 1987 and 2001 (years spanning the growth and urbanization period subsequent to the economic reforms). The data relates to household adult equivalent log income, adult equivalent living space, which are both continuous variables and the education of the head of household which is a discrete variable. For this data set combining the characteristics changes the view of polarization that would be inferred from considering the indices individually.

JEL Classification: C14; C30; I32

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Published Online: 2011-08-29
Published in Print: 2011-12-01

© 2011 Gordon Anderson, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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