Dynamics of HDI Index: Temporal Dependence Based on D-vine Copulas Model for Three-Way Data

The HDI (Human Development Index) is a widely used index based on the average of measures of health, education, and income. It assesses the progress of countries worldwide. The publicly available data set associated with the HDI can be seen as a table with 3 dimensions (three-way table): countries,...

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Bibliographic Details
Published in:Social indicators research 2021-12, Vol.158 (2), p.563-593
Main Authors: Ruscone, Marta Nai, Fernández, Daniel
Format: Article
Language:English
Subjects:
Comparative studies
Datasets
Education
GDP
Gross Domestic Product
Health education
Human development
Human Development Index
Human Geography
Indexes
Life expectancy
Microeconomics
ORIGINAL RESEARCH
Public Health
Quality of Life Research
Social Sciences
Sociology
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Summary:The HDI (Human Development Index) is a widely used index based on the average of measures of health, education, and income. It assesses the progress of countries worldwide. The publicly available data set associated with the HDI can be seen as a table with 3 dimensions (three-way table): countries, indexes regarding progress, and years (from 2010 to 2018). Thus, modeling the serial dependence structure of this type of intricate threeway tables is a challenge. D-vine copulas are a special class of multivariate copulas that are particularly suited for modeling serial dependence. This work aims to assess the evolution of the dependence relationship between the indexes of the HDI data set over time through D-vine copulas, which has not been fully used before in the area, as far as we are concerned. We tested our approach to European and African countries and compare their results.
ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-021-02682-y