Consejo Nacional de Evaluación de la Política de Desarrollo Social. Metodología para la medición multidimensional de la pobreza en México (segunda edición). México, DF: CONEVAL, 2014.

Como parte de un nuevo proyecto institucional, la Flacso México asume el reto de un debate renovado e innovador de las ciencias sociales en tanto eje transversal de su agenda de docencia e investigación. Renovado para hacer un corte de caja de las teorías tradicionales y dominantes a fin de valorar sus límites y avances descriptivos, explicativos y causales. Innovador porque construye e impulsa nuevas aplicaciones y coproducción del conocimiento científico social desde enfoques multidisciplinarios e interdisciplinarios, reforzando la tríada teoría, método-metodologías y evidencia. Esta serie forma parte de ese reto y busca repensar la relevancia indiscutible de los aportes de las ciencias sociales en un entorno de cambios globales, regionales y nacionales. Esta obra abre un debate mediante la problematización en distintas áreas de la ciencia política y las políticas públicas, que abarca la idea de que las políticas públicas son una mera solución técnica a los problemas; el vínculo (y su fuerza) entre las políticas y las preferencias, sometiendo a examen los conceptos de rendición de cuentas y responsividad, y el papel de los medios en este vínculo. Se reflexiona sobre complejidades usualmente no contempladas al estudiar la inserción de los países en la globalización y la relación de las unidades subnacionales con la nación a la que pertenecen, así como acerca de los supuestos implícitos de las teorías al aplicarse a otros contextos.

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.

Showcasing fuzzy set theory, this book highlights the enormous potential of fuzzy logic in helping to analyse the complexity of a wide range of socio-economic patterns and behaviour. The contributions to this volume explore the most up-to-date fuzzy-set methods for the measurement of socio-economic phenomena in a multidimensional and/or dynamic perspective. Thus far, fuzzy-set theory has primarily been utilised in the social sciences in the field of poverty measurement. These chapters examine the latest work in this area, while also exploring further applications including social exclusion, the labour market, educational mismatch, sustainability, quality of life and violence against women. The authors demonstrate that real-world situations are often characterised by imprecision, uncertainty and vagueness, which cannot be properly described by the classical set theory which uses a simple true–false binary logic. By contrast, fuzzy-set theory has been shown to be a powerful tool for describing the multidimensionality and complexity of social phenomena. This book will be of significant interest to economists, statisticians and sociologists utilising quantitative methods to explore socio-economic phenomena.