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Littérature scientifique sur le sujet « Multidimensional poverty measurement »

Auteur : Grafiati
Publié le 9 mars 2023
Mis à jour le 10 mars 2023

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Articles de revues sur le sujet "Multidimensional poverty measurement"

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Sarwar Awan, Masood, Muhammad Waqas et Muhammad Amir Aslam. « Multidimensional measurement of poverty in Pakistan : Provincial analysis ». Nóesis. Revista de Ciencias Sociales y Humanidades 24, no 48 (1 juillet 2015) : 55–72. http://dx.doi.org/10.20983/noesis.2015.2.2.

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Macció, Jimena, et Ann Mitchell. « Multidimensional Poverty Measurement in Segregated Cities ». Revista Desarrollo y Sociedad, no 93 (3 mars 2023) : 101–37. http://dx.doi.org/10.13043/dys.93.3.

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This paper illustrates the insights that can be gained from using a multidimensional poverty measurement method based on the capability approach to analyse the scale, characteristics, and spatial distribution of poverty in segregated cities. We assess the poverty gaps between formal and informal neighbourhoods and across districts, compare the results with income-based poverty estimates, and analyse the dimensional composition of poverty and disparities across population subgroups. The results show a weaker correlation between multidimensional and income-based measures and less overlap in terms of who is identified as poor in informal settlements than in the rest of the city. After adjusting for underrepresentation of the slum population in the household survey, informal settlements account for 10% of the city's population but nearly half of the multidimensionally poor. The results highlight the need to design poverty reduction policies that target informal neighbourhoods.
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Sharma, Lalit, et Kavita Chakravarty. « Multidimensional Poverty Measurement in Haryana ». Indian Journal of Human Development 9, no 1 (janvier 2015) : 89–101. http://dx.doi.org/10.1177/0973703020150106.

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Alkire, Sabina, et James Foster. « Counting and multidimensional poverty measurement ». Journal of Public Economics 95, no 7-8 (août 2011) : 476–87. http://dx.doi.org/10.1016/j.jpubeco.2010.11.006.

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Bastos, Amélia, et Carla Machado. « Child poverty : a multidimensional measurement ». International Journal of Social Economics 36, no 3 (13 février 2009) : 237–51. http://dx.doi.org/10.1108/03068290910932738.

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Thimmaiah, Navitha. « Multidimensional Measurement of Poverty in Mysore ». Indian Economic Journal 62, no 4 (janvier 2015) : 1265–88. http://dx.doi.org/10.1177/0019466220150406.

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Bennett, Christopher J., et Shabana Mitra. « Multidimensional Poverty : Measurement, Estimation, and Inference ». Econometric Reviews 32, no 1 (janvier 2013) : 57–83. http://dx.doi.org/10.1080/07474938.2012.690331.

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Decancq, Koen, Marc Fleurbaey et François Maniquet. « Multidimensional poverty measurement with individual preferences ». Journal of Economic Inequality 17, no 1 (mars 2019) : 29–49. http://dx.doi.org/10.1007/s10888-019-09407-9.

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Dirksen, Jakob, et Sabina Alkire. « Children and Multidimensional Poverty : Four Measurement Strategies ». Sustainability 13, no 16 (14 août 2021) : 9108. http://dx.doi.org/10.3390/su13169108.

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Empirically, official multidimensional measures of poverty often show children to be the poorest age group. Such poverty measures and their analysis can be used to directly inform policies to reduce children’s multiple deprivations. This paper introduces methods to produce official national statistics on multidimensional poverty that inform child-focused anti-poverty policies. In doing so, it recognises the importance of parsimonious, consistent measures, given practical constraints such as policy makers’ time. The paper does not recommend constructing several disjoint poverty measures which cannot be straightforwardly interpreted and used alongside one another, as these may create confusion or dilute policy attention. To create a compact and high-information measurement platform, the paper introduces four measurement strategies that have been used to directly uncover policy-relevant data on children’s experience of multidimensional poverty, and that are consistent with official population-level statistics. The four are as follows: (1) Include children’s deprivations as indicators of multidimensional poverty in national measures. (2) Disaggregate multidimensional poverty indices and their associated information platform to compare children and adults. (3) Analyse individual child deprivations and explore gendered and intra-household inequalities. (4) Construct an individual measure of child multidimensional poverty that is directly linked to the official national measure, but contains additional indicators across the life course of children. The paper illustrates these four strategies and the child-relevant statistics they yield, using examples from official poverty measures and previous research. It discusses the strengths and challenges of each method from conceptual, policy, and technical perspectives, and examines how they can be used for descriptive and prescriptive purposes in line with the Sustainable Development Goals.
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Choi Gyun, 권종희 et 서병수. « Measurement of Multidimensional Poverty by Counting Approach ». Korean Journal of Social Welfare 63, no 1 (février 2011) : 85–111. http://dx.doi.org/10.20970/kasw.2011.63.1.004.

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Thèses sur le sujet "Multidimensional poverty measurement"

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Diaz, Yadira. « Multidimensional and persistent poverty : methodological approaches to measurement issues ». Thesis, University of Essex, 2016. http://repository.essex.ac.uk/17562/.

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Multidimensional deprivation and persistent poverty are important research areas within the poverty measurement literature. Still, both encompass measurement issues for which methodological solutions are yet to be analysed. The thesis that I present here analyses three specific measurement issues, identified as relevant within these research areas, and proposes methodological approaches to tackle each of them. First, it evaluates the effect of different demographic population structures on societal multidimensional deprivation incidence comparisons. The results of this evaluation demonstrate that societal multidimensional comparisons reflect not only differences in relative deprivation but also differences in the demographic composition of the societies to be compared. These differences in the demographic structure of the population, thus, confound societal multidimensional deprivation comparisons. To tackle this comparability problem, the application of direct and indirect standardisation methods is proposed and analysed in this context. Second, it studies the effect of differences in need, exhibited across individuals from different demographic population subgroups or households of different sizes and compositions, on multidimensional deprivation incidence profiles. To address differences in needs and enhance individual or household comparability, I propose a family of multidimensional deprivation indices that describes how much deprivation two demographically heterogeneous units with different needs must exhibit to be catalogued as equivalently deprived. The obtained empirical results demonstrate that neglecting differences in needs yields biased multidimensional deprivation incidence profiles. The results also shed light on the ability of my proposed family of measures to capture these differences in need effectively. Third, this thesis analyses the reliability of persistent poverty measures in the presence of survey non-response. The obtained empirical results indicate that persistent poverty measures based on balanced panel estimates that do not account for the relationship between survey non-response and the socioeconomic status of the household provide a significantly biased picture of the intertemporal phenomenon. The methodologies that I present in this thesis are meant foremost to be easy to implement and understand by policymakers. As such, they are proposed as methodological tools to improve the measurement and analysis of poverty in the policy context.
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Samur, Zúñiga Antonia Fernanda. « Income and multidimensional child poverty in Chile : using the new poverty measurement methodology ». Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/130753.

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Seminario para optar al título de Ingeniero Comercial, Mención Economía
This seminar addresses child poverty in Chile from the new poverty measurement methodology (released in January 2015 by the Ministry of Social Development), both from an income and a multidimensional approach. The objective is to emphasize the importance of developing appropriate tools to measure and characterize child poverty, given its overrepresentation on poverty measures in the country and the gravity of the negative consequences poverty has over a child’s future development. This work analyzes the evolution of child poverty patterns in time, measured with data from the CASEN Household Survey, from 1990 to 2013 for the traditional methodology, and from 2006 to 2013 for the new methodology. The overrepresentation of children in poverty measures is shown using a monetary approach. Then this work analyzes the dynamics of income and multidimensional poverty, to finish with a deeper study of the specific deprivations children experience at a household level and a description of aggregated multidimensional poverty measures. The Alkire & Foster (2007) methodology is used to measure aggregated multidimensional indicators, which allows to analyze certain sub groups of the population. Results show that although indicators for the multidimensional measure are not child-specific, the aggregated indicators show a higher poverty rate for children than for adults, which is also the case using a monetary approach. In addition, its shown that using a multidimensional measure does add value, since both methodologies identify different segments of the population, having an overlap of less than 40% of the income poor.
El presente seminario aborda la pobreza infantil en Chile desde la nueva metodología de medición de pobreza (publicada en Enero de 2015 por el Ministerio de Desarrollo Social), tanto con un enfoque por ingresos como con un enfoque multidimensional. El objetivo es enfatizar la importancia de desarrollar herramientas para medir y caracterizar adecuadamente la pobreza en la niñez, dada su sobrerrepresentación en las medidas de pobreza en el país, y dada la gravedad de las consecuencias negativas que esta puede generar en el desarrollo futuro de un niño o adolescente. Este trabajo analiza cómo se comportan los patrones de pobreza infantil en el tiempo, medido a partir de los datos de la Encuesta de Caracterización Socioeconómica, desde 1990 hasta 2013 para la metodología tradicional, y desde 2006 hasta 2013 para la nueva metodología. Primero se utiliza el enfoque monetario para mostrar la sobrerrepresentación de la población infantil en la población pobre del país, luego se analiza la dinámica entre la pobreza por ingresos y la multidimensional, y para concluir se ahonda en las privaciones que vive la población infantil desde un enfoque multidimensional. Se utiliza la metodología de agregación de Alkire y Foster (2007) para calcular los indicadores de pobreza multidimensional, lo que permite analizar ciertos subgrupos de la población. Los resultados muestran que a pesar de los indicadores no ser específicos para niños, todas las medidas agregadas de pobreza multidimensional son mayores para la población infantil que para la población adulta, al igual que con el enfoque monetario. Además se muestra que sí existe un valor al medir la pobreza desde una perspectiva multidimensional, ya que ambos enfoques identifican a segmentos diferentes de la población, existiendo un overlap de menos del 40% de los pobres por ingresos.
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Gallant, Rochelle Gloria. « A multidimensional analysis of poverty in South Africa since the transition (1996-2007) using the fuzzy sets approach ». University of the Western Cape, 2012. http://hdl.handle.net/11394/4596.

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Magister Commercii - MCom
With the transition to a democratic society, one of the challenges to emerge was to provide economic freedoms for all – that is, freedom from isolation, freedom from powerlessness, freedom from hunger, and freedom from poverty. Fighting poverty has always been high on the agenda of the democratic government since the transition. Numerous measures and policies were instituted aimed at reducing poverty. Researchers initiated serious efforts to try and understand the nature and extent of poverty, through various studies being conducted. Many of these studies focused only on money-metric measures, despite the fact that poverty is a multidimensional concept. What has resulted are various poverty-measurement methods producing different results on the extent of poverty. In addition, certain aspects of these money-metric approaches have serious shortcomings. The fuzzy sets approach addresses many of these shortcomings, as it is a multidimensional approach. Few studies have used this approach to measure poverty in South Africa. This thesis plans to use this method to analyse poverty levels and trends in South Africa, focusing on multidimensional, non-money-metric poverty. Data from Census 1996, Census 2001 and Community Survey 2007 will be used for the study. From the results of the analysis it was established that there is some divergence in the findings of money-metric approaches and those of fuzzy sets. A key result to emerge is the difference in poverty trends over the period 1996 – 2007. Most studies reviewed in Chapter Three that used the money-metric approach showed that poverty trends were upward in the 1990s, before a downward trend took place in the 2000s. This took place irrespective of the survey data used. The non-money-metric poverty trends derived in this chapter, however, show a continuous downward trend over the period. The overall mean deprivation in South Africa has declined since 1996. For people residing in provinces such as Limpopo, the Eastern Cape and KwaZulu-Natal, they are more likely to be poor under the fuzzy sets approach. This may be an indication of inadequate service delivery and the extent to which recent government measures to address poverty have been successful or not. In terms of race, blacks still have the highest mean deprivation, but enjoyed the biggest decline of mean deprivation between 1996 and 2007. Finally, mean deprivation for female-headed households in South Africa was also higher than for male-headed households over the period.
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TKACH, KATERYNA. « Essays on multidimensional poverty measurement and the dependence among well-being dimensions ». Doctoral thesis, Università degli studi dell'Insubria, 2019. http://hdl.handle.net/10281/317984.

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Evaluating the welfare of nations is high on the research agenda of the economists, practitioners and policy-makers. The literature contributions of the last decades triggered a multivariate perception of the well-being, which is suggested to go beyond the GDP, and created a need for more complex approaches to evaluate the welfare as well as poverty. The first essay investigates the approaches to multivariate poverty measurement and focuses on the composite index approach and the steps involved in it. An important aspect of the multivariate perspective in well-being is the dependence among the underlying indicators. There is growing evidence in the literature that well-being dimensions are interrelated. This dependence among attributes matters for multidimensional poverty measurement, since income is no longer the only indicator to be considered. However, the reviewed approaches to multivariate poverty measurement do not commonly capture this interdependence. The second essay suggests a copula function as a flexible tool to estimate the dependence among welfare variables. Moreover, it proposes to incorporate the evaluated dependence in the composite indicator. The trade-off among attributes, which is established via the weighting of dimensions, is identified as a possible channel to include the interdependence in the composite indicator. The third essay of this dissertation defines bivariate and multivariate copula-based measures of dependence and applies them using the recent data from the EU-SILC. The results suggest that key dimensions of well-being, i.e. income, education and health, are positively interdependent. In addition, the strength of pairwise and multivariate dependence reinforced in the post-crisis period in some European countries. Finally, the last essay proposes a new class of the copula-based multidimensional poverty indices by innovating over the weighting approach. The weighting scheme proposed in this dissertation incorporates the estimated copula-based dependence and contains necessary normative controls to be chosen by the practitioner. The findings of the last essay suggest that the overall poverty is driven not only by the individual shortfalls, but also by the degree of interdependence among well-being indicators. Considering the proposed copula-based weighting scheme and the proposal of the new class of copula-based poverty indices, this dissertation contributes to the multivariate poverty measurement by suggesting the channel to enclose the dependence structure in the composite indicators. The proposed copula-based methodology will advance the multidimensional poverty analysis and the poverty-reducing policy, which can be designed to address the problem of interdependence of individual achievements.
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Nunes, Celso Luís Pereira. « Poverty measurement : a theoretical contribution and application to Portugal 2007 ». Doctoral thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10724.

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Doutoramento em Economia.
Neste trabalho apresenta-se uma história do pensamento económico na medição de pobreza - desde o que pode ser considerado o inicio da economia da pobreza ate a era de redescoberta da pobreza durante a década de 1960 - bern como uma revisão da literatura sobre as principais ferramentas de medição da pobreza apresentadas pela Ciência Económica. E ainda apresentado, no âmbito da abordagem multidimensional, uma proposta de um índice de medição de pobreza, inovadora quanto a ponderação dos diferentes atributos considerados como elementos de privação. 0 propósito do indice proposto e o de medir a pobreza na sua multidimensionalidade, sendo que cada dimensão de privação e ponderada no indice de acordo com a Hierarquia de Necessidades de Maslow. Esta forma de ponderação faz com que o indice proposto seja diferente dos ja existentes pelo facto de se incorporarem elementos de uma teoria psicológica consolidada na sua estrutura. Por fim, o indice apresentado e aplicado atraves de dados do European Union Statistics on Income and Living Conditions (EU-SILC) para Portugal em 2007 e comparado com dois outros metodos multidimensionais de medi9ao da pobreza.
This work presents a history of the economic thought on poverty measurement - from what can be considered the beginning of the Poverty Economics until the "Rediscovering Poverty" era during the 1960s - as well as a review of the literature on the main poverty measurement tools presented by the Economic Science. We also present, having the multidimensional approach as background, a proposal for a poverty measurement index, somehow innovative regarding the weighting of different attributes considered as elements of deprivation. The aim of the proposed index is to measure poverty as a multidimensional phenomenon, where each dimension of deprivation is weighted in the index according to the Maslow's Hierarchy of Needs. This way of weighting makes the proposed index different from the existing indices given that it incorporates elements of a consolidated psychological theory in its structure. Finally, the index is applied using the European Union Statistics on Income and Living Conditions (EU-SILC) microdata for Portugal in 2007, and compared with two other methods of measuring multidimensional poverty.
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Prince, Breeanna Carroll. « Access to Water : Advancement of Multidimensional, Multiscalar, and Participatory Methods of Measurement in the Global South ». Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83823.

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This project deploys a modified Water Poverty Index (WPI) in villages reconstructed after the 2004 tsunami in southeastern India. While previous measurements of access to water have advanced understandings of waterscape complexities, this modified WPI improves past efforts and deconstructs some of the previous misunderstandings and notions regarding access to water. The traditional WPI is multidimensional and seeks to measure water access in a holistic fashion; the WPI presented here employs this approach, but is adapted to include new place-based indicators (e.g., Secondary Sources). Furthermore, unlike previous iterations of the WPI, our modified index incorporates water quality testing, three weight schemes, and operates at several scales. Ultimately, the construction and arrangement of our modified WPI enables statistical analyses, geospatial analyses, and water poverty mapping -- which are absent in most prior studies-- while still remaining easy to populate and descriptively analyze among non-academicians. Statistical tests of original household level data from a total of 24 villages in Nagapattinam District, Tamil Nadu, and Karaikal District, Puducherry, indicate significant differences between the two districts in indicator scores as well as total WPI score. Additionally, the urban and rural areas within each district were found to be significantly different in level of water poverty, and trends were similar across the three weight schemes. Multiple linear regressions show correlation of independent socioeconomic variables (i.e., Income, Education, and Assets-Networks) with the dependent indicator of Capacity, but not with the other indicators or total WPI score. Global Moran's I tests indicate positive spatial autocorrelation, demonstrating that indicator and WPI scores tend to cluster in space. Overall, the results match what was anticipated, yet serve to challenge commonly held assumptions on urban-rural hierarchies and the role of socioeconomic variables in determining water poverty. The construction, deployment, and analytical potential of this modified WPI can be used by scholars to improve existing conceptualizations and measurements of access to water, while the results can be used by local governments and nonprofits to improve resource allocation and inform spatially-targeted interventions.
Master of Science
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Machado, Kenys Menezes. « Mensuração da pobreza : uma comparação entre a renda e a abordagem multidimensional da pobreza na Bahia ». Universidade Federal da Bahia, 2006. http://www.adm.ufba.br/sites/default/files/publicacao/arquivo/kenys_menezes_machado.pdf.

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Apesar do crescente aumento do estoque de riqueza material no mundo, a pobreza continua a ser um problema de grande extensão e gravidade devido, especialmente, às desigualdades sociais. Existe uma dificuldade inicial na formulação e acompanhamento das políticas de combate a pobreza que é a indefinição ou limitação das concepções de pobreza adotadas. Este trabalho considera as inúmeras críticas quanto ao caráter limitado da renda, a proxy mais utilizada para a descrição da pobreza, adotando uma abordagem multidimensional como a mais adequada para a análise. Concluiuse, entretanto que a abordagem da renda pode ser utilizada para a mensuração da pobreza como proxy de uma conceituação multifacetada deste fenômeno, desde que completada com indicadores sociais, mas é insuficiente para a análise das suas causas. Utilizouse a Bahia como estudo de caso para a discussão da adequação da renda como forma de medir a pobreza. Diferentes estudos apontavam resultados distintos desde o início da década de 90; um dos motivos seria a concepção de pobreza utilizada. O problema de pesquisa deste trabalho então foi o seguinte: a dinâmica da pobreza na Bahia demonstrada através de linhas de pobreza baseadas na renda é consistente com uma abordagem multidimensional? A hipótese inicial de que as análises da dinâmica da pobreza eram inconsistentes com uma abordagem multidimensional não foi comprovada, ou seja, a evolução da pobreza entre 1991 e 2000 descritas através da renda mostrouse semelhante à observada por meio das necessidades básicas ou das capacidades, mensuradas por meio de um sistema de indicadores sociais e do IDH, respectivamente. A distinção de resultados ocorreu na análise baseada nos indicadores de desigualdades, que buscavam refletir a abordagem de exclusão social. A observação das diversas dimensões da pobreza e seus comportamentos no período e a análise dos resultados foi objetivo específico deste trabalho. A pesquisa foi feita através de uma metodologia quantitativa com dados secundários a partir de quatro perspectivas em relação à pobreza (renda, necessidades básicas, capacidades e exclusão social). Concluíse assim que para se ter um quadro mais próximo da realidade, há uma necessidade de se analisar a pobreza utilizando abordagens distintas, mas complementares.
Salvador
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Guillén, Fernández Yedith Betzabé. « Multidimensional poverty measurement from a relative deprivation approach : a comparative study between the United Kingdom and Mexico ». Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723497.

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Bedük, Selçuk. « Measuring poverty in the EU : investigating and improving the empirical validity in deprivation scales of poverty ». Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:22f61b32-32a3-4fb3-b0ce-67b1b8fe8c00.

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Non-monetary deprivation indicators are now widely used for studying and measuring poverty in Europe. However, despite their prevalence, the empirical performance of existing deprivation scales has rarely been examined. This thesis i) identifies possible conceptual problems of existing deprivation scales such as indexing, missing dimensions and threshold; ii) empirically assesses the extent of possible error in measurement related to these conceptual problems; and iii) offer an alternative way for constructing deprivation measures to mitigate the identified conceptual problems. The thesis consists of four stand-alone papers, accompanied by an overarching introduction and conclusion. The first three papers provide empirical evidence on the empirical consequences of the missing dimensions and threshold problems for the measurement and analysis of poverty, while the fourth paper exemplifies a concept-led multidimensional design that can reduce the error introduced by these conceptual problems. The analysis is generally held for 25 EU countries using European Survey of Income and Living Conditions (EU-SILC); only in the second paper, the analysis is done for the UK using British Household Panel Survey (BHPS).
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Rippin, Nicole Isabell (geb Braam) [Verfasser], Stephan [Akademischer Betreuer] Klasen, Sebastian [Akademischer Betreuer] Vollmer et Matin [Akademischer Betreuer] Qaim. « Considerations of Efficiency and Distributive Justice in Multidimensional Poverty Measurement / Nicole Isabell (geb. Braam) Rippin. Gutachter : Stephan Klasen ; Sebastian Vollmer ; Matin Qaim. Betreuer : Stephan Klasen ». Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2014. http://d-nb.info/1047706865/34.

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Livres sur le sujet "Multidimensional poverty measurement"

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Wang, Xiaolin. Multidimensional Poverty Measurement. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7.

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Wagle, Udaya. Multidimensional Poverty Measurement. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6.

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Apablaza, Mauricio. Decomposing multidimensional poverty dynamics. Oxford, UK : Young Lives, 2013.

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Kakwani, Nanak, et Jacques Silber, dir. Quantitative Approaches to Multidimensional Poverty Measurement. London : Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230582354.

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Nanak, Kakwani, et Silber Jacques, dir. Quantitative approaches to multidimensional poverty measurement. Basingstoke [England] : Palgrave Macmillan, 2008.

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Nanak, Kakwani, et Silber Jacques, dir. Quantitative approaches to multidimensional poverty measurement. Basingstoke [England] : Palgrave Macmillan, 2008.

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Multidimensional poverty measurement : Concepts and applications. New York, NY : Springer, 2008.

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Nigerian Economic Society. Annual Conference, dir. Faces of poverty : Multidimensional poverty analysis for Nigeria. Bodija, Ibadan, Nigeria : The Nigerian Economic Society, 2016.

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Lemmi, Achille, et Gianni Betti, dir. Fuzzy Set Approach to Multidimensional Poverty Measurement. Boston, MA : Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34251-1.

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Analysis of multidimensional poverty : Theory and case studies. Dordrecht : Springer Verlag, 2009.

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Chapitres de livres sur le sujet "Multidimensional poverty measurement"

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Wang, Xiaolin. « Poverty Criteria and World Poverty ». Dans Multidimensional Poverty Measurement, 23–52. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_2.

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Wagle, Udaya. « Introduction ». Dans Multidimensional Poverty Measurement, 1–13. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_1.

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Wagle, Udaya. « Three Related Concepts of Poverty ». Dans Multidimensional Poverty Measurement, 15–53. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_2.

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Wagle, Udaya. « Multidimensional Approach to Poverty ». Dans Multidimensional Poverty Measurement, 55–85. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_3.

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Wagle, Udaya. « Application I : Nepal ». Dans Multidimensional Poverty Measurement, 87–129. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_4.

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Wagle, Udaya. « Chapter 5 Application II : The United States ». Dans Multidimensional Poverty Measurement, 131–72. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_5.

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Wagle, Udaya. « Conclusion ». Dans Multidimensional Poverty Measurement, 173–82. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6_6.

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Wang, Xiaolin. « The Multidimensional Poverty of Migrant Women in China : A Case Study of Domestic Services in Beijing ». Dans Multidimensional Poverty Measurement, 137–56. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_8.

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Wang, Xiaolin. « Dynamic Change Measurement of Poverty in China ». Dans Multidimensional Poverty Measurement, 53–66. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_3.

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Wang, Xiaolin. « Multidimensional Poverty Measurement of China ». Dans Multidimensional Poverty Measurement, 67–83. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7_4.

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Actes de conférences sur le sujet "Multidimensional poverty measurement"

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Cheng, Zheng, et Yucheng Teng. « Multidimensional Poverty Measurement on China’s Minority Areas ». Dans 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164812.

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Ismail, Mohd Khairi, Vikniswari Vija Kumaran, Syamsulang Sarifuddin, Siti Nurul Munawwarah, Sharmila Thinagar, Nor Zuriati Amani Ab Rani et Muhamad Zahid Muhamad. « Reassessing Malaysian Poverty Measurement after COVID-19 : A Multidimensional Perspective ». Dans International Academic Symposium of Social Science. Basel Switzerland : MDPI, 2022. http://dx.doi.org/10.3390/proceedings2022082048.

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Wu, Yangchenhao. « Multidimensional Poverty Measurement and Poverty Reduction Effect Analysis — Based on the Survey Data of H County in Southern Shaanxi ». Dans Hradec Economic Days 2022, sous la direction de Jan Maci, Petra Maresova, Krzysztof Firlej et Ivan Soukal. University of Hradec Kralove, 2022. http://dx.doi.org/10.36689/uhk/hed/2022-01-084.

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Cheng, Shiyong, Na Li et Senlin Xiang. « Multidimensional Poverty Measurement of Migrant worker and Factors Analysis during Urbanization of China - a Sample from Construction Industry ». Dans 2016 International Conference on Public Management. Paris, France : Atlantis Press, 2016. http://dx.doi.org/10.2991/icpm-16.2016.97.

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Zhao, Jing. « Research on Multidimensional Poverty of Chinese Rural Elderly Women : Based on the 2018 CLHLS Data and Alkire-Foster Measurement Model ». Dans 2021 International Conference on Public Management and Intelligent Society (PMIS). IEEE, 2021. http://dx.doi.org/10.1109/pmis52742.2021.00029.

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Cabrera, Gabriela Pilar, Liliana Mabel Tauber, Juan Antonio Gili et Daniel Eduardo Romero. « Transumeration as an Input for Critical Thinking ». Dans Bridging the Gap : Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t3a3.

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In the framework of the pilot test of a model to evaluate and characterize the critical statistical literacy of university students, mediated by the constant comparative method, a clipping of a task focused on the understanding and interpretation of graphs on multidimensional poverty in Argentina is analyzed. in 2021, the answers provided by 43 students and a class based on the task emerging from the base task. Errors and difficulties were found in the students' transnumeration process, which could hinder the development of critical thinking. It is concluded that transnumeration, when it interferes in complex socio-political contexts, such as the problem of poverty measurement, is an educational scenario that has the potential to favor critical thinking. En el marco de la prueba piloto de un modelo para evaluar y caracterizar la alfabetización estadística crítica de estudiantes universitarios, mediado por el método comparativo constante, se analiza un recorte de una tarea centrada en la comprensión e interpretación de gráficos sobre la pobreza multidimensional en Argentina en 2021, las respuestas aportadas por 43 estudiantes y una clase basada en la tarea emergente de la tarea base. Se encontraron errores y dificultades en el proceso de transnumeración de los estudiantes, pudiendo esto obstaculizar el desarrollo del pensamiento crítico. Se concluye que la transnumeración, cuando se inmiscuye en contextos socio-políticos complejos, como la problemática de la medición de la pobreza, es un escenario educativo que tiene el potencial de favorecer el pensamiento crítico.
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Huang, Yini, et Weihuan Jia. « Multidimensional Poverty Measurement and Cause Analysis of Sichuan Qiang Ethnic Minority -- Based on the Investigation of 245 Poor Households in Mao County ». Dans 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018). Paris, France : Atlantis Press, 2018. http://dx.doi.org/10.2991/iceemr-18.2018.119.

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Rapports d'organisations sur le sujet "Multidimensional poverty measurement"

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Alkire, Sabina, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche et Paola Ballon. Multidimensional Poverty Measurement and Analysis : Chapter 2 - The Framework. University of Oxford, janvier 2015. http://dx.doi.org/10.35648/20.500.12413/11781/ii031.

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