A New Extension of Bourguignon and Chakravarty Index to Measure Educational Poverty and Its Application to the OECD Countries

Sánchez-García, Juan-Francisco; Sánchez-Antón, María-del-Carmen; Amador, Rosa Badillo; Marco-Gil, M. Carmen; LLinares-Ciscar, Juan-Vicente; Álvarez‐Díez, Susana

doi:10.1007/s11205-019-02115-x

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…The multidimensional index applied to analyse the educational poverty is the Adjusted Bourguignon Chakravarty index, BC a , introduced by Sánchez- García et al (2019). This index allows adjustments of the individual poverty level using the scores in the attributes which do not fall below the corresponding threshold level, without changing the identification of an individual as poor.…”

Section: Methodsmentioning

confidence: 99%

“…Symmetrically, the individual non-deprivation level, i (R( , z, m)) , is the -norm ( 𝜃 > 0) of the normalised surplus gaps, introduced by Sánchez- García et al (2019) for the individual's non-deprived attributes, r ij ( , z, m) , that is, for any i ∈ N, j ∈ J, with r ij ( , z, m) = max 0,…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, the value of θ = α ensures that the BC a index satisfies Factor Decomposability (see Proposition 3 in Sánchez-García et al, 2019), an important property which demands a poverty index to be additive across attributes and allows to determine what each of them contributes to total poverty, therefore = 2 . Moreover, this value of implies that inequality in scores of the different subjects also affects the level of individual poverty, characteristic that seems to be appropriate in the educational context.…”

Section: Methodsmentioning

confidence: 99%

“…It is worth noting that the BC a index satisfies some other standard properties in the literature, including Strong Focus Identification, Weak Focus, Symmetry, Normalization, Monotonicity, Continuity, Scale Invariance, Subgroup Decomposability, and Principle of Population (see Sánchez-García et al, 2019 for formal definitions).…”

Section: Methodsmentioning

confidence: 99%

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Analysis of the Educational Poverty in Spain by Subjects, Regions and Gender

et al. 2021

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Quality education is a key factor to improve people’s lives and to achieve sustainable development. Using data from PISA 2009, 2012 and 2015, in this paper the level of educational poverty of the Spanish regions is calculated by applying the Adjusted Bourguignon Chakravarty index, $$B{C}^{a}$$ B C a (Sánchez-García et al. in Soc Indicat Res 145(2): 479–501). A descriptive analysis of the differences in educational poverty by gender and the contribution of each region and subject to the national level of educational poverty is also provided. This information could certainly be considered a starting point to tackle educational poverty in Spain.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of the Educational Poverty in Spain by Subjects, Regions and Gender

et al. 2021

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“…The following two features are included: (1) individuals should be considered poor if they cannot meet the basic level in at least one of the poverty-related dimensions; (2) individuals with the same level of poverty in some dimensions but with different degree of insufficiency in other aspects should be different. Based on these premises, an adjusted poverty index, called BC a index, was widely applied to measure poverty in the OECD countries ( 48 ).…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Disability Evaluation and Confirmatory Analysis of Older Adults in a Home-Based Community in China

Han

Zhang

Fang

2022

Front. Public Health

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A robust multi-dimensional disability assessment standard was constructed to consider physical condition, care resources, and social interaction that might lead to disability, to provide a basis for accurate identification of care needs for older people aged 60 and above in a home-based community. Based on the “Capability approach” theory, the Alkire-Foster method was applied to assess the multidimensional disability. This was followed by the confirmatory analysis of the Seemingly Unrelated Regression Estimation. Adjusted Bourguignon and Chakravarty index was also calculated to analyze the sensitivity to further support our conclusions. We constructed a multi-dimensional disability indicator system by combining physical condition, care resources, and social interaction. Findings presented that the impairment of individuals' motor ability, ability to manage disease, cognitive psychology, and communication skills and social interaction contributed to multidimensional disability the most. And older people who are female, aged over 65, with lower BMI, living in rural areas, with a lower education level, getting more formal care, and with relatively higher creatinine, tend to face a higher risk of deprivation in overall multidimensional disability. Therefore, the targeted interventions to improve health literacy, nutrition, skill of disease management, social networks, and communication skills for older people and also timely detection of the abnormal changes in potential biomarker indicators of them is necessary to delay disability and prevent its occurrence.

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A Survey of the Literature on Multidimensional Poverty

White

2020

Multidimensional Poverty in America

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A New Extension of Bourguignon and Chakravarty Index to Measure Educational Poverty and Its Application to the OECD Countries

Cited by 5 publications

References 12 publications

Analysis of the Educational Poverty in Spain by Subjects, Regions and Gender

Analysis of the Educational Poverty in Spain by Subjects, Regions and Gender

Multidimensional Disability Evaluation and Confirmatory Analysis of Older Adults in a Home-Based Community in China

A Survey of the Literature on Multidimensional Poverty

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