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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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
- Multidimensional welfare