This study determines data driven weights for the indicators in the multidimensional poverty index (MPI), based on partial least squares (PLS), using income as the outcome variable. Consequently, the resulting MPI is particularly useful to income related policy and research questions. An...

The Multidimensional Poverty Index (MPI) is not the first attempt to examine poverty along multiple definitions. Vis-a-vis the existing work and other presently available measures, this method has greater advantage in terms of international comparability and reporting. However, the methodology...

South Africa is estimated to allocate approximately US $12 billion for the 2014/15 fiscal year for social grants (Bhorat and Cassim, 2014). With an extensive coverage and budget, it is one of the most progressive social security schemes among low and even middle income countries. It helps...

The Multidimensional Poverty Index (MPI) is not the first attempt to examine poverty along multiple definitions. Vis-a-vis the existing work and other presently available measures, this method has greater advantage in terms of international comparability and reporting. However, the methodology...

South Africa is estimated to allocate approximately US $12 billion for the 2014/15 fiscal year for social grants (Bhorat and Cassim, 2014). With an extensive coverage and budget, it is one of the most progressive social security schemes among low and even middle income countries. It helps...

Gleichzeitig mit der weit verbreiteten Verwendung von traditionellen einkommens- oder konsumbasierten Maßnahmen zur Messung menschlicher Armut und Entwicklung gibt es seit den späten 70er Jahren zunehmendes Interesse an der Ökonomie des Glücks. Ebenso gibt es einen breiten Literaturbereich,...

Ein zusammengesetzter Index ist eine aggregierte Variable, die aus individuellen Indikatoren und Gewichten besteht, wobei die Gewichte die relative Wichtigkeit jedes Indikators darstellen. Zusammengesetzte Indizes werden oft benutzt um latente Phänomene zu schreiben oder komplexe Informationen...

In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate weights for composite indices. In this context we also consider various treatments of non-metric variables when constructing such composite indices. Using simulation studies we find...

This paper reviews various treatments of non-metric variables in Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several typical data generating processes and...