Identification of the Poor in Sri Lanka: Development of Composite Indicator and Regional Poverty Lines

PMMA Working Paper No. 2006-03

49 Pages Posted: 24 Apr 2006

See all articles by Padmasiri Siddhisena

Padmasiri Siddhisena

affiliation not provided to SSRN

Ruwan Jayathilaka

Institute of Policy Studies of Sri Lanka (IPS)

Multiple version iconThere are 2 versions of this paper

Date Written: March 2006

Abstract

The identification of the poor and the definition of poverty is rather complex since poverty dimensions are multifaceted. Poverty is not just an inadequacy of income to meet basic needs or the inability to spend. It is largely associated with numerous demographic, socio-economic, cultural, environmental, health and psychological factors. The aim of this study is therefore to compute a composite indicator of multidimensional poverty and regional poverty lines to identify the severity of poverty and regional disparities of poverty. The study was based on the two data sets and the main objectives of the study are: identification of the poor by using a broader definition of poverty; measurement of regional differences on poverty using the poverty indices and constructed poverty lines; and development of a Composite Indicator of Multidimensional Poverty to identify poverty by severity and also to examine regional disparities of poverty.

Keywords: Inequality, Basic Needs, Living Standards, Quality of Life, Measurement of Poverty, Welfare

JEL Classification: D63, I31, I32, I38, P46

Suggested Citation

Siddhisena, Padmasiri and Jayathilaka, Ruwan, Identification of the Poor in Sri Lanka: Development of Composite Indicator and Regional Poverty Lines (March 2006). PMMA Working Paper No. 2006-03, Available at SSRN: https://ssrn.com/abstract=891782 or http://dx.doi.org/10.2139/ssrn.891782

Padmasiri Siddhisena

affiliation not provided to SSRN ( email )

No Address Available

Ruwan Jayathilaka (Contact Author)

Institute of Policy Studies of Sri Lanka (IPS) ( email )

99 St. Michael's Road
Colombo 03
Sri Lanka

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