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Polarization Measurement and Inference in Many Dimensions: A Note

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  • Gordon Anderson
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    Abstract

    This note extends the Duclos Esteban Ray Polarization Measure to situations in which agents are characterized in many dimensions where the characteristics are both discrete and continuous. It provides a formula for its asymptotic variance and illustrates its use in an application to a sample of Chinese Urban Households where household income, living space and educational status of the household head are the agent characteristics.

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    File URL: http://www.economics.utoronto.ca/public/workingPapers/tecipa-414.pdf
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    Bibliographic Info

    Paper provided by University of Toronto, Department of Economics in its series Working Papers with number tecipa-414.

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    Length: 7 pages
    Date of creation: 05 Nov 2010
    Date of revision:
    Handle: RePEc:tor:tecipa:tecipa-414

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    Keywords: Polarization Multidimensional estimation Inference;

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