We propose an innovative methodology to measure inequality between cities. If an even distribution of amenities across cities is assumed to increase the average well-being in a given country, inequality between cities can be evaluated through a multidimensional index of the Atkinson (1970) type. This index is shown to be decomposable into the sum of inequality indices computed on the marginal distributions of the amenities across cities, plus a residual term accounting for their correlation. We apply this methodology to assess inequality between Italian cities in terms of the distribution of public infrastructures, local services, economic and environmental conditions.

Michelangeli, A., Peluso, E. (2016). Cities and inequality. REGION, 3(2), 47-60 [10.18335/region.v3i2.129].

Cities and inequality

Michelangeli, A
;
Peluso, E
2016

Abstract

We propose an innovative methodology to measure inequality between cities. If an even distribution of amenities across cities is assumed to increase the average well-being in a given country, inequality between cities can be evaluated through a multidimensional index of the Atkinson (1970) type. This index is shown to be decomposable into the sum of inequality indices computed on the marginal distributions of the amenities across cities, plus a residual term accounting for their correlation. We apply this methodology to assess inequality between Italian cities in terms of the distribution of public infrastructures, local services, economic and environmental conditions.
Articolo in rivista - Articolo scientifico
City; Inequality; Inequality aversion; Social welfare;
Inequality aversion, Cities, Inequality, Social welfare
English
2016
3
2
47
60
open
Michelangeli, A., Peluso, E. (2016). Cities and inequality. REGION, 3(2), 47-60 [10.18335/region.v3i2.129].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/133399
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