Understanding the socio-economic distribution of multiple deprivation: An application of self-organising maps

Whelan, Christopher T.; Lucchini, Mario; Pisati, Maurizio; Maître, Bertrand

doi:10.1016/j.rssm.2010.03.003

Cited by 19 publications

(13 citation statements)

References 13 publications

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“…Ferro Luzzi et al (2008),Pisati et al (2010),Whelan et al (2010) Lucchini and Assi (2013) andCaruso et al (2014) for an application of cluster analysis to identify population subgroups homogeneous by well-being or deprivation level, andHirschberg et al (1991) for an analogous comparison across countries;Asselin and Anh (2008) andCoromaldi and Zoli (2012) for an application of multiple correspondence analysis and non-linear principal component analysis, respectively. (2012) apply methods developed in efficiency analysis to aggregate the various attributes of well-being.…”

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confidence: 99%

Multidimensional Poverty and Inequality

Aaberge

Brandolini

2015

Handbook of Income Distribution

252

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This paper examines different approaches to the measurement of multidimensional inequality and poverty. First, it outlines three aspects preliminary to any multidimensional study: the selection of the relevant dimensions; the indicators used to measure them; and the procedures for their weighting. It then considers the counting approach and the axiomatic treatment in poverty measurement. Finally, it reviews the axiomatic approach to inequality analysis. The paper provides a selective review of a rapidly growing theoretical literature with the twofold aim of highlighting areas for future research and offering some guidance on how to use multidimensional methods in empirical and policy-oriented applications.

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confidence: 99%

Multidimensional Poverty and Inequality

Aaberge

Brandolini

2015

Handbook of Income Distribution

252

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“…2010; Halleröd and Larsson 2008). However, there are question that have been seldom discussed such as: whether and under which circumstances a comparable measure is desirable, what could be the implications of lacking a comparable measure, and how a comparable measure can be tested and produced.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Does measurement invariance hold for the official Mexican multidimensional poverty measure? A state-level analysis 2012

Nájera

2016

Qual Quant

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One of the main goals in poverty measurement is making comparisons of prevalence and severity across geographical units. This is attained by merely disaggregating the index in question. The underlying assumption is that comparisons across units are tenable, inasmuch as the same indicators are utilised for constructing the index. Nonetheless, in practice, this assumption is very rarely tested. From the statistical perspective, measurement invariance (MI) must hold for comparisons to be valid, and violations thereof indicate that a given poverty index measures different things across different countries, states, counties, etc. Consequently, differentials in severity and prevalence cannot be attributed exclusively to the underlying construct (i.e. poverty) but to factors not considered in the measure. This article tests whether MI holds for two indexes: the Mexican official multidimensional measure (MPM) and an adjusted multidimensional measure (MPM-A) that uses less severe thresholds. The analysis is conducted using a novel method called the ‘alignment method’. It uses these two measures and the method as an illustration of why it is vital to introduce MI tests into poverty measurement. The results suggest that partial strong MI holds for the official measure and MI is violated when the thresholds are adjusted. Partial strong MI guarantees making valid comparisons across the 32 states. Should the official measure requires to be updated with other thresholds, it would be necessary to adjust the threshold or drop the indicator for water deprivation.

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“…The analysis has focused on a set of variables consistent with those usually selected by current literature (Townsend, 1987;Carstairs & Morris, 1991;Noble et al, 2003;Guio, 2009;Whelan et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

Is Economical and Social Development Really Linked with the Shift of Labour from Secondary to Tertiary Sector? Evidence from the Italian Case

Ivaldi

Soliani

2014

IJEF

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In the present paper, first, we have carried out a study about regional deprivation in Italy and tested it with a variable test (in this case, life expectancy at birth) to estimate its goodness. RDI index is linked with life expectancy at birth about 60%.Then we have divided Italian Regions into five different classes, from the "best" (less deprived) to the "worst" (much deprived) one. In each group we have examined the working population in every sector and the share of labourers in primary, secondary and tertiary sector, in order to verify the usual argument according to which growth and socio-economic development go with the boost of tertiary. The tertiary sector is determined according to ISTAT definition, which includes public administration. However, in a further step of our analysis we separate private from public tertiary. The evolution towards the advanced "post-industrial" society is apparently proved wrong in this case.

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Understanding the socio-economic distribution of multiple deprivation: An application of self-organising maps

Cited by 19 publications

References 13 publications

Multidimensional Poverty and Inequality

Multidimensional Poverty and Inequality

Does measurement invariance hold for the official Mexican multidimensional poverty measure? A state-level analysis 2012

Is Economical and Social Development Really Linked with the Shift of Labour from Secondary to Tertiary Sector? Evidence from the Italian Case

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