MODELING HUMAN DEVELOPMENT INDEX USING DISCRIMINANT ANALYSIS By Iwuagwu, Chukwuma E. Nwosu, Moses Obinna
Department of Statistics
Abia State Polytechnic, Aba
Abstract
The basic objective of human development is to create an
enabling environment for people to live long, healthy and
creative lives and it is composite statistic of the life
expectancy, education income per capita indicators which
are used to rank countries into tiers of human
development. The paper determined the critical variables
that discriminate between High and Low human
development indexes. The data was collected through
secondary source from United Nation Development
Programme (UNDP) 2017. Thirteen variables (indicators)
were selected from thirty four countries classified high
and low human development. The data was analyzed with
discriminant analysis using the stepwise discriminant
function and location model. The significance of the
developed model was tested and the developed model for
high and low human development countries is given by
Y= 0.783x1 + 0.490x2
The study revealed that out of the thirteen indicators
considered to be critical, only two were most important
discriminatory variables.
Key words: Human Development Index, Location model,
Stepwise Discriminant Function, and Indicators.
1.1 Introduction
Human development has achieved almost universal recognition as the most effective process of enabling the individuals to live their lives in the manner they value, through enrichment of the opportunities and increasing their capacities to use the basic human rights. The basic objective of human development is to create an enabling environment for people to live long, healthy and creative lives.
Human Development Index (HDI) is a composite statistic of the life expectancy, education and income per capita indicators which are used to rank countries into tiers of human development. For a country to attend High Human Development depends on successful development and implementation of the necessary variables as enumerated by United Nation Development Programme (UNDP).
Human development index is complex, usually requiring simultaneous attention to a wide variety of human, budgetary and technical variables. However the contributions of these variables (indicators) still remain statistically insignificant to the growth of nation’s human development index (HDI).
AsPoly Journal of Sciences, Engineering and Environmental Studies
Iwuagwu, C., , I , Nwosu, C & Obinna, M (2021). MODELING HUMAN DEVELOPMENT INDEX USING DISCRIMINANT ANALYSIS. Afribary. Retrieved from https://track.afribary.com/works/modeling-human-development-index-using-discriminant-analysis-by-iwuagwu-chukwuma-e-nwosu-moses-obinna
Iwuagwu, Chukwuma, et. al. "MODELING HUMAN DEVELOPMENT INDEX USING DISCRIMINANT ANALYSIS" Afribary. Afribary, 02 Apr. 2021, https://track.afribary.com/works/modeling-human-development-index-using-discriminant-analysis-by-iwuagwu-chukwuma-e-nwosu-moses-obinna. Accessed 05 Nov. 2024.
Iwuagwu, Chukwuma, Iwuagwu , Chukwuma Nwosu and Moses Obinna . "MODELING HUMAN DEVELOPMENT INDEX USING DISCRIMINANT ANALYSIS". Afribary, Afribary, 02 Apr. 2021. Web. 05 Nov. 2024. < https://track.afribary.com/works/modeling-human-development-index-using-discriminant-analysis-by-iwuagwu-chukwuma-e-nwosu-moses-obinna >.
Iwuagwu, Chukwuma, Iwuagwu , Chukwuma Nwosu and Moses Obinna . "MODELING HUMAN DEVELOPMENT INDEX USING DISCRIMINANT ANALYSIS" Afribary (2021). Accessed November 05, 2024. https://track.afribary.com/works/modeling-human-development-index-using-discriminant-analysis-by-iwuagwu-chukwuma-e-nwosu-moses-obinna