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.

Before the nineteenth century, travellers who left Britain for the Americas, West Africa, India and elsewhere encountered a medical conundrum: why did they fall ill when they arrived, and why - if they recovered - did they never become so ill again? The widely accepted answer was that the newcomers needed to become 'seasoned to the climate'. Suman Seth explores forms of eighteenth-century medical knowledge, including conceptions of seasoning, showing how geographical location was essential to this knowledge and helped to define relationships between Britain and her far-flung colonies. In this period, debates raged between medical practitioners over whether diseases changed in different climes. Different diseases were deemed characteristic of different races and genders, and medical practitioners were thus deeply involved in contestations over race and the legitimacy of the abolitionist cause. In this innovative and engaging history, Seth offers dramatically new ways to understand the mutual shaping of medicine, race, and empire.

Before the nineteenth century, travellers who left Britain for the Americas, West Africa, India and elsewhere encountered a medical conundrum: why did they fall ill when they arrived, and why - if they recovered - did they never become so ill again? The widely accepted answer was that the newcomers needed to become 'seasoned to the climate'. Suman Seth explores forms of eighteenth-century medical knowledge, including conceptions of seasoning, showing how geographical location was essential to this knowledge and helped to define relationships between Britain and her far-flung colonies. In this period, debates raged between medical practitioners over whether diseases changed in different climes. Different diseases were deemed characteristic of different races and genders, and medical practitioners were thus deeply involved in contestations over race and the legitimacy of the abolitionist cause. In this innovative and engaging history, Seth offers dramatically new ways to understand the mutual shaping of medicine, race, and empire.

'A Unified Approach to Measuring Poverty and Inequality: Theory and Practice' is an introduction to the theory and practice of measuring poverty and inequality, as well as a user's guide for analyzing income or consumption distribution for any standard household dataset using the World Bank's ADePT software. The approach taken here considers income standards as building blocks for basic measurement, then uses them to construct inequality and poverty measures. This unified approach provides advantages in interpreting and contrasting the measures and in understanding the way measures vary over time and space. Several recent initiatives have lowered the cost of accessing household datasets. The ADePT software enables users to analyze microdata from household surveys and other sources and generate print-ready, standardized tables and charts. It can also be used to simulate the impact of economic shocks, cash transfers and other policy instruments on poverty, and inequality. The software automates analysis, helps minimize human errors, and encourages development of new economic analysis methods. Of interest to teachers and students as well as to policy practitioners, 'A Unified Approach to Measuring Poverty and Inequality' will empower researchers to plumb greater depths in searching for regularity in larger and larger datasets. This book should help to enrich discussion and analysis relating to the World Bank's recent effort toward defining new targets and indicators for promoting work on eradicating poverty and enhancing shared prosperity.