Part II proposes an alternative participatory method for systematically identifying valued changes in participants' capability sets. Three case studies of women's income generation activities in Pakistan - goat-rearing, adult literacy, and rose cultivation - contrast economic cost-benefit analysis of each activity with capable analysis."--BOOK JACKET.
Contributors: Ann Barham, Chloe Bryer, Ian T. Douglas What Can One Person Do? confronts a poverty-stricken world, and with clarity of purpose offers practical steps to create lasting change. Global poverty can be reduced through a series of achievable objectives: the eight Millennium Development goals agreed to by the international community at the Millennium Summit in 2000. World leaders and faith communities have adopted the MDGs, as well as the ideas found within this book--for the authors demonstrate that as shared vision grows and as these goals are accomplished, human communities shall indeed flourish.
Multidimensional poverty measurement and analysis is evolving rapidly. Notably, it has informed the publication of the Multidimensional Poverty Index (MPI) estimates in the Human Development Reports of the United Nations Development Programme since 2010, and the release of national poverty measures in Mexico, Colombia, Bhutan, the Philippines and Chile. The academic response has been similarly swift, with related articles published in both theoretical and applied journals. The high and insistent demand for in-depth and precise accounts of multidimensional poverty measurement motivates this book, which is aimed at graduate students in quantitative social sciences, researchers of poverty measurement, and technical staff in governments and international agencies who create multidimensional poverty measures. The book is organized into four elements. The first introduces the framework for multidimensional measurement and provides a lucid overview of a range of multidimensional techniques and the problems each can address. The second part gives a synthetic introduction of 'counting' approaches to multidimensional poverty measurement and provides an in-depth account of the counting multidimensional poverty measurement methodology developed by Alkire and Foster, which is a straightforward extension of the well-known Foster-Greer-Thorbecke poverty measures that had a significant and lasting impact on income poverty measurement. The final two parts deal with the pre-estimation issues such as normative choices and distinctive empirical techniques used in measure design, and the post-estimation issues such as robustness tests, statistical inferences, comparisons over time, and assessments of inequality among the poor.
This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world's population. The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. Our results indicate that 1,700 million people in the world live in acute poverty, a figure that is between the $1.25/day and $2/day poverty rates. Yet it is no $1.5/day measure. The MPI captures direct failures in functionings that Amartya Sen argues should form the focal space for describing and reducing poverty. It constitutes a tool with an extraordinary potential to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience. This paper presents the methodology and components in the MPI and describes main results, and shares basic robustness tests.
The aim of this paper is to draw attention to "missing dimensions" of poverty data - dimensions that are of value to poor people, but for which we have scant or no data. Amartya Sen frames development as the process of expanding the freedoms that people value and have reason to value. Although the most widely-known measure of human development includes income, longevity, and education, many have argued that people's values, and consequently multidimensional poverty, extends beyond these domains. In order to advance these multiple areas, it is at times necessary to conduct empirical studies using individual or household-level data on multiple dimensions of poverty. A critical barrier for international analyses of multidimensional poverty is that few or no high-quality indicators are available across countries and respondents in key domains that are deeply important to poor people and of potentially critical instrumental importance. --Abstract.
This paper focuses on the methodology by which India's 2002 Below the Poverty Line (BPL) census data identify the poor and construct a BPL headcount. Using the BPL 2002 methodology and NFHS (National Family Health Survey) data, it identifies which rural families would have been considered BPL were NFHS (National Family Health Survey) data used. It compares these to poor families that would be identified using the same variables with the Alkire Foster multidimensional poverty methodology. It finds that up to 12 per cent of the poor sample population and 33 per cent of the extreme poor could be misclassified as non-poor by the pseudo-BPL method"--Abstract.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.