Counting and multidimensional poverty measurement

Alkire, Sabina; Foster, James E.

doi:10.1016/j.jpubeco.2010.11.006

Cited by 2,329 publications

(2,429 citation statements)

References 45 publications

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“…specific dimension of well-being exceeds the respective cutoff value. In a second step, we define which individuals (among those who are affluent with respect to at least one dimension) are considered to be rich in a multidimensional sense with the help of a counting methodology (Atkinson, 2003;Alkire and Foster, 2008). An affluent individual is defined to be multidimensionally rich, if the number of its affluence counts across all dimensions is greater than or equal to a certain threshold (second cutoff).…”

Section: Measuring Multidimensional Richnessmentioning

confidence: 99%

“…Our contribution to the literature is twofold: First, we extend the one-dimensional richness measures developed by Peichl, Schaefer, and Scheicher (2008) to the multidimensional case by closely following the work of Alkire and Foster (2008), who proposed a class of multidimensional poverty measures based on the one-dimensional FGT poverty measures (Foster, Greer, and Thorbecke, 1984). Central to our approach is a dual cutoff method that identifies those individuals in a population that are considered to be multidimensionally rich.…”

Section: Introductionmentioning

confidence: 99%

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Multidimensional Measurement of Richness: Theory and an Application to Germany

Peichl

Pestel

2010

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science. Terms of use: Documents inThe decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly. Nico Pestel IZA and University of Cologne AbstractClosely following recent innovations in the literature on the multidimensional measurement of poverty, this paper provides similar measures for the top of the distribution using a dual cutoff method to identify individuals, who can be considered as rich in a multidimensional setting.We use this framework to analyze the role of wealth, health and education, in addition to income, as dimensions of multidimensional well-being in Germany. Our analysis shows that more than half of the German population is affluent in at least one dimension and less than

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Section: Measuring Multidimensional Richnessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multidimensional Measurement of Richness: Theory and an Application to Germany

Peichl

Pestel

2010

SSRN Journal

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“…Thus, growing up in impoverished environments can trigger serious implications in the different dimensions of development (3,6,7), such as in cognition, motor skills, social interaction and language.…”

Section: Introductionmentioning

confidence: 99%

“…This variable continues to be a widely used indicator. However, in recent years, poverty has been seen as a multidimensional phenomenon, with a more dynamic and structural concept (6). Thus, poverty involves not only economic aspects, but also other dimensions, such as political, social, cultural, quality of life and well-being (13).…”

Section: Introductionmentioning

confidence: 99%

“…Another aspect highlighted in the current literature on poverty measurement is that many researches consider poor people to be grouped in a broad socioeconomic category, not taking into account the different levels of poverty and the potential concentration of risk factors associated with each of them (6,8,18). In addition, it is assumed that urban poverty in particular affects the ecology of the development of the child, including its extrafamilial dimension (kindergartens, schools, neighborhood), and therefore its measurement has been a concern for researchers from different areas (7,19,20).…”

Section: Introductionmentioning

confidence: 99%

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Association between family poverty and the neuropsychomotor development of children in the administrative districts of Belém

et al. 2016

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Introduction: Childhood development represents a sequence of changes in behavior and underlying processes, in luenced by biological and environmental factors. Screening and monitoring of neurodevelopment show effective procedures for early identi ication of different disorders of childhood development. Objective: To analyze the neurodevelopment, using the Denver Developmental Screening Test II, of children enrolled in preschools of Administrative Districts in Belém and to map the districts and the percentage of development evaluated as normal and suspected delay. Methods: This was a cross-sectional and exploratory descriptive study. A questionnaire was administered to parents to collect the personal, contextual and family data and an instrument to measure the level of family poverty. Results: Of the 319 children assessed, 77.7% showed a suspected delay in neuropsychomotor developmental and 59.2% in language. The family poverty level variable showed a statistically signi icant association with the overall level of development (p = .011) and of language (p = .003). Conclusion: It is hoped that this study will contribute to generate an impact in improving the ecological conditions of children and their families, reducing the risks to which they are exposed. Keywords:Child. Childhood Development. Poverty.

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Association of Multidimensional Poverty With Dementia in Adults Aged 50 Years or Older in South Africa

et al. 2022

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Key Points Question Is multidimensional poverty associated with dementia in older adults in low- and middle-income countries? Findings In this cross-sectional study of 227 adults aged 50 years or older living in Soweto, Johannesburg, South Africa, 20% of adults with dementia were poor compared with 10% of those without dementia, with a difference of 118% on the Multidimensional Poverty Index. The risk of dementia was 2.31 times higher for adults who were multidimensionally poor. Meaning These results suggest that public policies addressing factors associated with poverty may be helpful to delay the onset and reduce the prevalence of dementia among older adults.

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Counting and multidimensional poverty measurement

Abstract: This study has been prepared within the OPHI themes on missing dimensions and multidimensional measurement.

Cited by 2,329 publications

References 45 publications

Multidimensional Measurement of Richness: Theory and an Application to Germany

Multidimensional Measurement of Richness: Theory and an Application to Germany

Association between family poverty and the neuropsychomotor development of children in the administrative districts of Belém

Association of Multidimensional Poverty With Dementia in Adults Aged 50 Years or Older in South Africa

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