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Statistical inference for vector measures of inequality and poverty

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Abstract

In this paper, we consider methods of inference for vector measures of inequality and poverty. These vector measures may consist of several different scalar measures of inequality or poverty in a single dimension, several scalar measures of poverty which use different poverty lines, or several scalar measures of inequality or poverty in different dimensions. Our proposed methods are illustrated with a Monte Carlo simulation and two empirical examples utilizing Canadian household data.

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  1. Department of Economics, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada, M5B 2K3

    Brennan Scott Thompson

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  1. Brennan Scott Thompson
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Correspondence to Brennan Scott Thompson.

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Thompson, B.S. Statistical inference for vector measures of inequality and poverty. J Econ Inequal 8, 451–462 (2010). https://doi.org/10.1007/s10888-009-9116-5

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  • DOI: https://doi.org/10.1007/s10888-009-9116-5

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