The present study mainly aims to construct a Poverty Composite Indicator (PCI) for the Romanian households using a non-arbitrary method to compile multiple categorical indicators into an aggregate measure that describes the numerous poverty faces. The composite indicator allows for households ordering according to their level of poverty, in order to identify the profile of poor households from Romania.
Poverty, Poverty Composite Indicator, Multiple Correspondence Analysis