Multidimensional Poverty Decomposition
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Unpacking the Mpi
Author | : Jorge Perez Perez |
Publisher | : |
Total Pages | : 39 |
Release | : 2017 |
Genre | : |
ISBN | : |
Multidimensional measures of poverty have become standard as complementary indicators of poverty in many countries. Multidimensional poverty calculations typically comprise three indices: the multidimensional headcount, the average deprivation share among the poor, and the adjusted headcount ratio. While several decomposition methodologies are available for the last index, less attention has been paid to decomposing the multidimensional headcount, despite the attention it receives from policy makers. This paper proposes an application of existing methodologies that decompose welfare aggregates--based on counterfactual simulations--to break up the changes of the multidimensional poverty headcount into the variation attributed to each of its dimensions. This paper examines the potential issues of using counterfactual simulations in this framework, proposes approaches to assess these issues in real applications, and suggests a methodology based on rank preservation within strata, which performs positively in simulations. The methodology is applied in the context of the recent reduction of multidimensional poverty in Colombia, finding that the dimensions associated with education and health are the main drivers behind the poverty decline.
Analysis of Multidimensional Poverty
Author | : Louis-Marie Asselin |
Publisher | : Springer Science & Business Media |
Total Pages | : 215 |
Release | : 2009-08-29 |
Genre | : Business & Economics |
ISBN | : 1441908439 |
Poverty is a paradoxical state. Recognizable in the eld for any sensitive observer who travels in remote rural areas and urban slums and meets marginalized people in a given society, poverty still remains a challenge to conceptual formalization and to measurement that is consistent with such formalization. The analysis of poverty is multidisciplinary. It goes from ethics to economics, from political science to human biology, and any type of measurement rests on mathematics. Moreover, poverty is multifaceted according to the types of deprivation, and it is also gender and age speci c. A vector of variables is required, which raises a substantial problem for individual and group comparisons necessary to equity analysis. Multidimension- ity also complicates the aggregation necessary to perform the ef ciency analysis of policies. In the case of income poverty, these two problems, equity and ef ciency, have bene ted from very signi cant progress in the eld of economics. Similar achievements are still to come in the area of multidimensional poverty. Within this general background, this book has a very modest and narrow-scoped objective. It proposes an operational methodology for measuring multidimensional poverty, independent from the conceptual origin, the size and the qualitative as well as the quantitative nature of the primary indicators used to describe the poverty of an individual, a household or a sociodemographic entity.
Counting-based Multidimensional Poverty Identification
Author | : Sam Jones |
Publisher | : |
Total Pages | : |
Release | : 2019 |
Genre | : |
ISBN | : 9789292566890 |
In the widely used class of multidimensional poverty measures introduced by Alkire and Foster (2011), dimension-specific weights combined with a single cut-off parameter play a fundamental role in identifying who is multidimensionally poor. This paper revisits how these parameters are understood, revealing they do not uniquely characterise who is identified as poor and that the weights do not reliably reflect each dimensions' relative importance. Drawing on insights from Boolean algebra, I demonstrate that the set of 'minimum deprivation bundles' constitutes an intuitive and unique characterization of Alkire-Foster identification functions. This provides a formal foundation for various analytical innovations, namely: a novel poverty decomposition based only on the unique properties of each identification function; and metrics of dimensional power, which capture the effective importance or 'value' of each dimension across all possible combinations of deprivations. These insights are illustrated using deprivation data from Mozambique and applying various identification functions, including a close replica of the international MPI (multidimensional poverty index).
Research Handbook on Measuring Poverty and Deprivation
Author | : Jacques Silber |
Publisher | : Edward Elgar Publishing |
Total Pages | : 777 |
Release | : 2023-03-02 |
Genre | : Business & Economics |
ISBN | : 1800883455 |
Encompassing chapters that address both unidimensional and multidimensional poverty, this timely Research Handbook explores all aspects of poverty and deprivation measurement, not only detailing broad issues but also scrutinising specific domains and aspects of poverty, such as health, energy and housing. Its succinct and highly focussed chapters, written by a diverse range of authors, employ a combination of theoretical and empirical methodologies to offer well-rounded explorations of complex topics.
Decomposing Multidimensional Poverty Dynamics
Author | : Mauricio Apablaza |
Publisher | : |
Total Pages | : 33 |
Release | : 2013 |
Genre | : Poverty |
ISBN | : 9781909403147 |
Quantitative Approaches to Multidimensional Poverty Measurement
Author | : N. Kakwani |
Publisher | : Springer |
Total Pages | : 290 |
Release | : 2008-02-21 |
Genre | : Business & Economics |
ISBN | : 0230582354 |
This book is written in light of the latest developments in the field of multidimensional poverty measurement. It includes clear presentations of more than a dozen different quantitative techniques and provides empirical illustrations based on data sources from developed or developing countries.