Income Poverty and Multidimensional Deprivation: Lessons From Cross‐regional Analysis

Cañón, Luis Ayala; Jurado, Á.; Mayo, Jesús Pérez

doi:10.1111/j.1475-4991.2010.00393.x

Cited by 56 publications

(43 citation statements)

References 47 publications

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“…This holds particularly true for measuring child poverty. Indeed, Ayala et al (2011) postulate that the focus on different types of individual wellbeing partly explains the lack of a statistically significant relationship between income poverty and multidimensional poverty.…”

Section: Measurement Errormentioning

confidence: 99%

“…Monetary indicators are considered much more likely to fluctuate in the short term than non-monetary indicators are (Clark and Hulme, 2005;Hulme and Shepherd, 2003) as an increase in monetary resources and may not immediately translate into improvements in non-monetary outcomes (or vice versa). Some consider monetary poverty measures a reflection of a short-term condition, while multidimensional poverty indicators might be more representative of a permanent situation (Ayala et al, 2011) or structural condition of poverty (Battiston et al, 2013).…”

Section: Measurement Errormentioning

confidence: 99%

“…Ayala et al (2011), for example, consider measurement error to play a role in the weak correlation between income-based and multidimensional poverty. Yet they refute such error to be the sole explanation for limited association between poverty measures as only a small proportion of those having exited income-based poverty also fared better with respect to multidimensional aspects of poverty.…”

Section: Measurement Errormentioning

confidence: 99%

See 2 more Smart Citations

Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?

Roelen

2018

Eur J Dev Res

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An expanding evidence base suggests that children experiencing monetary and multidimensional poverty are not the same. This article breaks new ground by providing a unique mixed methods investigation of drivers of child poverty mismatch in Ethiopia and Vietnam, considering the role of measurement error and individualistic and structural factors. The analysis capitalises on large-scale secondary quantitative panel data and combines this with purposively collected primary qualitative data in both countries. It finds that factors at the household and structural level can mediate the effects of monetary poverty in terms of multidimensional poverty and vice versa, but that the size and sign of these effects are specific to place and time. The policy mix aiming to reduce all forms of child poverty need to be targeted on the basis of a multidimensional assessment of poverty and reflect the complex and contextspecific interactions between determinants of child poverty.Une base de données croissante suggère que les enfants qui connaissent une pauvreté monétaire sont différents de ceux qui connaissent une pauvreté multidimensionnelle. Cet article ouvre une nouvelle voie en fournissant une analyse unique sur les facteurs entrainant un déséquilibre de la pauvreté infantile en É thiopie et au Vietnam, en utilisant des méthodes mixtes et en considérant le rôle de l'erreur de mesure et des facteurs individualistes et structurels. L'analyse s'appuie sur des données d'un panel quantitatif secondaire à grande échelle et les combines avec des données qualitatives primaires recueillies délib-érément dans les deux pays. Elle constate que les facteurs au niveau des ménages et de la structure peuvent agir comme médiateurs des effets de la pauvreté monétaire en termes de pauvreté multidimensionnelle et vice et versa, mais que le taille et le signe de ces effets sont spécifiques au lieu et au temps. Le dosage des politiques visant à réduire toutes les formes de pauvreté infantile doit être ciblé sur la base d'une évaluation multidimensionnelle de la pauvreté et refléter les interactions complexes et contextuelles entre les déterminants de la pauvreté infantile.

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Section: Measurement Errormentioning

confidence: 99%

Section: Measurement Errormentioning

confidence: 99%

Section: Measurement Errormentioning

confidence: 99%

See 1 more Smart Citation

Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?

Roelen

2018

Eur J Dev Res

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“…Numerous empirical studies have found a greater correlation between long-term income or consumption and material deprivation, in comparison to current income (Meyer and Sullivan, 2013;Sullivan, Turner and Danziger, 2008;Berthoud, Bryan and Bardasi, 2004;McKay and Collard, 2004). On the other hand, transitions into and out of the labour market and employment insecurity can have a significant effect, independently of income, on the level of material deprivation, reflecting the economic vulnerability associated with the instability of the income flow (Ayala, Jurado and Pérez-Mayo, 2011;Ayllón, Mercader and Ramos, 2007;Layte et al, 2001). Thus, contemporary material deprivation indicators would provide a relatively simple and cost-efficient way to study the outcomes of dynamic processes that otherwise would have to be analysed using longitudinal data.…”

Section: Literature Reviewmentioning

confidence: 99%

Has the Great Recession Changed the Deprivation Profile of Low Income Groups? Evidence from Spain

Martínez¹,

Navarro²

2016

HPE-RPE

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This paper analyses how the economic crisis has modified the relationship between income and material deprivation in Spain, one of the European countries most affected by the crisis. We show that the degree of overlap between low income and material deprivation has increased by around 50% from 2008 to 2012, even despite the offsetting effect of the reduction in the (relative) income poverty threshold. We demonstrate that the Great Recession has produced a significant recomposition of the poverty profile in Spain. Our findings underline the increasing role played by long-term unemployment and by differences in tenure status of households in predicting this overlap, four years after the bursting of the property bubble.

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“…order to quantify the level of poverty. In this approach, a set of highly empirical contributions summarises information of all the dimensions in a single variable using multivariate statistical methods (Townsend 1979;Desai and Shah 1988; Guio et al 2009;Ayala, et al 2011). …”

Section: Introductionmentioning

confidence: 99%

Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data

2016

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In order to contribute to providing a methodology to ensure objectivity and transparency in the measurement of multidimensional poverty, this paper proposes a new threshold for the identification of the multidimensional poor which is also applicable to each of the dimensions of poverty, suitable for identifying the severely poor in developed countries. This new methodology is applied to analyse the evolution of material deprivation in Spain during the period of economic crisis, comparing the results with those obtained using other traditional approaches.Key words: Multidimensional poverty, counting approach, poverty lines, Spain. 2 IntroductionIn recent decades, a broad academic and institutional consensus has emerged regarding the need to study poverty as a multidimensional phenomenon, integrating material deprivation and social exclusion concerns (Sen 1985) in aggregated indicators. However, despite this consensus, there are still many methodological issues when measuring multidimensional poverty that are imbued with subjectivity and a lack of transparency. Among other negative outcomes, this prevents international comparisons from being conducted. In order to construct an objective methodology for measuring severe multidimensional poverty and deprivation, in this paper, a new relative threshold for identifying multidimensional poor or deprived segments is proposed especially suited for developed countries. Using this new threshold, we have quantified and analysed the evolution of material deprivation in Spain during the economic crisis, comparing the results with those obtained using absolute and subjective thresholds proposed in the literature by other authors. order to quantify the level of poverty. In this approach, a set of highly empirical contributions summarises information of all the dimensions in a single variable using multivariate statistical methods (Townsend 1979;Desai and Shah 1988; Guio et al. 2009;Ayala, et al. 2011).Another set of contributions, which take into account the joint distribution of the poverty dimensions, has focused on the proposal of poverty indices that combine information on several dimensions (Bourguignon and Chakravarty 2003; Lemmi and Betti 2006;Foster 2007 and2011a). These contributions include those based on the counting approach, introducedby Atkinson (2003) and are suitable for both qualitative and quantitative variables. This approach, which concentrates on counting the number of dimensions in which people suffer poverty or deprivation, helps overcome the disadvantages of most of the measures that can only be calculated for quantitative variables.Within the framework of the counting approach, Foster (2007 and2011a) propose a methodology, connected with the one-dimensional analysis of the phenomenon, that relies on a method for identifying the poor or deprived and another for aggregating the data and summarising the information on multiple dimensions in one scalar. The identification method, known as dual cutoff, can be based on two kinds of thresholds. The fir...

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Income Poverty and Multidimensional Deprivation: Lessons From Cross‐regional Analysis

Cited by 56 publications

References 47 publications

Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?

Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?

Has the Great Recession Changed the Deprivation Profile of Low Income Groups? Evidence from Spain

Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data

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