Arbeitspapier

Democracy clusters and patterns of inequality: A k-means approach

This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using information from five Varieties of Democracy indices. K-means country clusters are similar but not entirely identical to both k-medians clusters and arbitrary groups formed using only one measure, namely the liberal democracy index. Simple correlations with different inequality measures yield varying results. Despite having higher absolute inequality, country clusters with extremely high levels of democracy are characterized by lower relative inequality. They also have the lowest ratio of the income share of the richest 10 per cent to that of the poorest 40 per cent. K-means clusters with low- and medium-quality institutions generally do not differ much in terms of inequality outcomes.

ISBN
978-92-9267-380-2
Sprache
Englisch

Erschienen in
Series: WIDER Working Paper ; No. 2023/72

Klassifikation
Wirtschaft
Economic Systems: General
Econometric and Statistical Methods and Methodology: General
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Thema
clustering
democracy
inequality
pattern recognition

Ereignis
Geistige Schöpfung
(wer)
Puzon, Klarizze Anne Martin
Ereignis
Veröffentlichung
(wer)
The United Nations University World Institute for Development Economics Research (UNU-WIDER)
(wo)
Helsinki
(wann)
2023

DOI
doi:10.35188/UNU-WIDER/2023/380-2
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Puzon, Klarizze Anne Martin
  • The United Nations University World Institute for Development Economics Research (UNU-WIDER)

Entstanden

  • 2023

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