Poverty Measures as Normalized Distance Functions

Poverty Measures as Normalized Distance Functions Abstract: One rather simple and straightforward way of interpreting a poverty measure is in terms of the ratio of the vector distance between, one the one hand, an actual distribution of incomes and an ideal distribution without any poverty, to the...

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Bibliographic Details
Main Author: S. Subramanian
Format: Journal Article
Published: India Economic Review 2009
Subjects:
DISTANCE FUNCTIONS; > MINKOWSKI A DISTANCE; > CANBERRA DISTANCE; > POVERTY MEASURE; > INEQUALITY MEASURE; > AXIOMS OF MEASUREMENTS

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