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Towards a Data-Driven Typology of State Fragility: A Multi-Dimensional Approach
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This paper by Jörn Grävingholt, Sebastian Ziaja, and Merle Kreibaum discusses a data-driven, multi-dimensional typology for assessing state fragility. Using a measurement process that identifies the "weakest link," the authors transform data from 162 cases and apply latent profile analysis to aggregate the findings into distinct groups based on fragility dimensions. The results highlight key groupings and the implications for understanding and addressing state failure, showcasing the utility of a nuanced approach in fragile state analysis.
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Towards a Data-Driven Typology of State Fragility: A Multi-Dimensional Approach
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State fragility: Towards a data-driven multi-dimensional typology Jörn Grävingholt, Sebastian Ziaja & Merle Kreibaum
Measurement process • Approach of “weakest link” • Transformed data • n = 162 2
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