Geographic targeting is perhaps the most popular mechanism used to direct social programs to the poor in Latin America. This paper empirically compares geographic targeting indicators available in Peru. To this effect, I combine household-level information from the 1994 and 1997 Peru Living Standards Measurement Survey (LSMS) and district-level information from the 1993 Peru Population and Hous...

Multidimensional measures provide an alternative lens through which poverty may be viewed and understood. In recent work we have attempted to offer a practical approach to identifying the poor and measuring aggregate poverty (Alkire and Foster 2011). As this is quite a departure from traditional unidimensional and multidimensional poverty measurement – particularly with respect to the identific...

Debates about poverty relief and foreign aid often hinge on claims about how many poor people there are in the world and what constitutes poverty. Good measures of poverty are essential for addressing the world poverty problem. Measures of poverty require a basis for determining who is poor and a method of aggregation. Historically, the methods of aggregation were quite simple. The headcount in...

Opportunity-Sensitive Poverty Measurement We axiomatically characterize two classes of poverty measures which are sensitive to inequality of opportunity – one a strict subset of the other. The proposed indices are sensitive not only to income shortfalls from the poverty line, but also to differences in opportunities faced by people with different pre-determined characteristics, such as race or ...

* This work was supported by the Centre National de la Recherche Scientifique (UMR 8621), the Université Paris-Sud XI and the European Community, grants BIO4-CT96-0535 and QLK3-CT99-00729. d These authors (MF & PJIvdV) contributed equally to this work. e Present address (PJIvdV): Laboratory of Phytopathology, Wageningen University, Binnenhaven 5, NL-6709 PD Wageningen, The Netherlands. f Presen...

In this chapter, rotation angle estimation algorithms for textures and their real time implementations on a custom smart camera called FU-SmartCam is introduced (Ulas et al., 2007) and improved. In the textile industry, weft-straightening is a fundamental problem which is closely related to the rotation angle estimation. Earlier weft-straightening machines used simple sensors and hardware; howe...

Computing on graphics processors is maybe one of the most important developments in computational science to happen in decades. Not since the arrival of the Beowulf cluster, which combined open source software with commodity hardware to truly democratize high-performance computing, has the community been so electrified. Like then, the opportunity comes with challenges. The formulation of scient...

This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρk that extends the traditional intersection and union approaches, and a class of poverty measures Mα. Our identification step employs two forms of cutoff: one within each dimension to determine whether a person is deprived in that dimension, and a second across dimensions that ...

The aim of this article is to investigate the claim that tourism development can be the engine for poverty reduction in Kenya using a dynamic, microsimulation computable general equilibrium model. The article improves on the common practice in the literature by using the more comprehensive Foster-Greer-Thorbecke (FGT) index to measure poverty instead of headcount ratios only. Simulations result...

This paper aims at measuring and analyzing the non-monetary aspect of multidimensional poverty by the basic needs according to the characteristics of household head. This is the first study in this matter in Togo and using the Multidimensional Correspondence Analysis (MCA) techniques to construct a Composite Poverty Indicator (CPI). Moreover, we use the most recent data from the country survey ...