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Revising the Human Development Sequence Theory Using an Agent-Based Approach and Data

Viktoria Spaiser,D. Sumpter

Published 2016 in Journal of Artificial Societies and Social Simulation

ABSTRACT

Agent-based models and computer simulations are promising tools for studying emergent macro-phenomena. We apply an agent-based approach in combination with data analysis to investigate the human development sequence (HDS) theory developed by Ronald Inglehart and Christian Welzel. Although the HDS theory is supported by correlational evidence, the sequence of economic growth, democracy and emancipation stated by the theory is not entirely consistent with data. We use an agent-based model to make quantitative predictions about several different micro-level mechanisms. Comparison to data allows us to identify important inconsistencies between HDS and the data, and propose revised agent-based models that modify the theory. Our results indicate the importance of elites and economic inequality in explaining the data available on democratisation.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    Journal of Artificial Societies and Social Simulation

  • Publication date

    2016-06-30

  • Fields of study

    Computer Science, Economics

  • Identifiers
    DOI 10.18564/JASSS.3084
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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