1 / 5

Towards a Data-Driven Typology of State Fragility: A Multi-Dimensional Approach

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.

ranee
Télécharger la présentation

Towards a Data-Driven Typology of State Fragility: A Multi-Dimensional Approach

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. State fragility: Towards a data-driven multi-dimensional typology Jörn Grävingholt, Sebastian Ziaja & Merle Kreibaum

  2. Measurement process • Approach of “weakest link” • Transformed data • n = 162 2

  3. Aggregation: Latent profile analysis

  4. Results: Groups by dimensions 4

  5. Results: Failed States Index by groups 5

More Related