COMPOSITE INDEX: LIMITATIONS AND REMEDIAL MEASURE

Composite Index (CI) combines measures of indicators on economic, social, environmental variables, government initiatives, wellbeing of health, psychological, satisfaction of basic needs, social/cultural, etc. However, existing measures of CIs suffer from limitations. The paper proposes CI measure as geometric mean (GM), which avoids scaling and choosing of weights. It helps in better comparison of countries across time and space and satisfies desired properties like monotonically increasing continuous function, constant elasticity, identification of key areas, reduction of level of substitutability, formation of chain indices to show growth of CI of a country, and is less affected by outliers. The index with wide applicability can be used for ranking, classification of countries and facilitates computation of mean and variance of a sample of countries. In addition, the index satisfies time-reversal test, helps to identify the critical areas and find contribution of the component indicators, estimation of population parameters and testing statistical hypothesis. Separate indices for domains can be constructed by considering indicators relevant to a domain. Thus, it is an improvement over the existing methods. Future studies suggested. Keywords: Composite index; Monotonically increasing; Geometric mean; Time-reversal test; Chain indices < classification: C43, O15

Institutions

Publication Details

Journal
PRSM
Published
2024-10-30
DOI
https://doi.org/10.34874/prsm.mb2r-vol2iss4.52357
Primary Topic
Quality of Life Measurement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COMPOSITE INDEX: LIMITATIONS AND REMEDIAL MEASURE

PRSM
Quality of Life Measurement
article

COMPOSITE INDEX: LIMITATIONS AND REMEDIAL MEASURE

article en

Abstract

Composite Index (CI) combines measures of indicators on economic, social, environmental variables, government initiatives, wellbeing of health, psychological, satisfaction of basic needs, social/cultural, etc. However, existing measures of CIs suffer from limitations. The paper proposes CI measure as geometric mean (GM), which avoids scaling and choosing of weights. It helps in better comparison of countries across time and space and satisfies desired properties like monotonically increasing continuous function, constant elasticity, identification of key areas, reduction of level of substitutability, formation of chain indices to show growth of CI of a country, and is less affected by outliers. The index with wide applicability can be used for ranking, classification of countries and facilitates computation of mean and variance of a sample of countries. In addition, the index satisfies time-reversal test, helps to identify the critical areas and find contribution of the component indicators, estimation of population parameters and testing statistical hypothesis. Separate indices for domains can be constructed by considering indicators relevant to a domain. Thus, it is an improvement over the existing methods. Future studies suggested. Keywords: Composite index; Monotonically increasing; Geometric mean; Time-reversal test; Chain indices < classification: C43, O15

PRSM
Université Ibn-Tofail (MA), National School of Business and Management in Settat (MA)
Partnerships for the goals
Openalex Percentile: Top 40%
Quality of Life Measurement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

COMPOSITE INDEX: LIMITATIONS AND REMEDIAL MEASURE · PRSM (2024) | TGRS Research Map | TGRS