This paper proposes a comparison between uni- and multidimesional approaches to the measurement of poverty. Traditional uni-, fuzzy uni- and fuzzy multidimensional indicators are compared by means of a rank correlation analysis. The robustness of the comparison is ensured by a simulation study. Our results stress that unidimensional indicators provide partial information on the poverty condition.

Multidimensional versus unidimensional poverty measurement / M. Costa. - ELETTRONICO. - 1:(2020), pp. 969-974. (Intervento presentato al convegno 50th Scientific Meeting of the Italian Statistical Society tenutosi a Pisa nel 23-25 June 2020).

Multidimensional versus unidimensional poverty measurement

M. Costa
2020

Abstract

This paper proposes a comparison between uni- and multidimesional approaches to the measurement of poverty. Traditional uni-, fuzzy uni- and fuzzy multidimensional indicators are compared by means of a rank correlation analysis. The robustness of the comparison is ensured by a simulation study. Our results stress that unidimensional indicators provide partial information on the poverty condition.
2020
Book of Short Papers SIS 2020
969
974
Multidimensional versus unidimensional poverty measurement / M. Costa. - ELETTRONICO. - 1:(2020), pp. 969-974. (Intervento presentato al convegno 50th Scientific Meeting of the Italian Statistical Society tenutosi a Pisa nel 23-25 June 2020).
M. Costa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/776703
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