Recent theoretical and empirical studies have concluded that in order to
be accurate, poverty and deprivation must be measured within a
multidimensional framework that is consistent, efficient, and
statistically robust.
The fuzzy sets approach to poverty measurement was developed in the
early 1990s and continues to be refined by scholars of economics and
sociology who find the traditional "monetary-only" indicators to be
inadequate and arbitrary.
This volume brings together advanced thinking on the multidimensional
measurement of poverty, including the theoretical background,
applications to cross-sections using contemporary European examples, and
longitudinal aspects of multidimensional fuzzy poverty analysis that pay
particular attention to the transitory, or impermanent, conditions that
often occur during transitions to market economies.
This book will be of interest to scholars and researchers and will be a
useful text on poverty for advanced students in applied statistics,
urban planning, economics, and sociology.
Achille Lemmi is Professor of Economic Statistics at the University of
Siena. His areas of interest and research include personal income
distribution models, poverty and living conditions estimation and
analysis, and poverty dynamics.
Gianni Betti is Associate Professor of Economic Statistics at the
University of Siena. His areas of interest and research include poverty
and living conditions analysis, equivalence scales, small area
estimation and poverty mapping.
