ECB Fiscal Communication Analysis with Latent Semantic Scaling

Lorenzo Lombardi's research dataset analyzes the politicisation of the European Central Bank through its fiscal communication across crises. The dataset, last updated on 2026-05-06, includes results from Latent Semantic Scaling and narrative analysis to evaluate a shift in policy preferences. It is a 298.8 KB collection of DOCX and XLSX files shared under a CC-BY-4.0 license.

Use Cases

• Analyzing shifts in central bank policy discourse based on the described application of Latent Semantic Scaling.
• Studying the politicisation of independent institutions based on the narrative analysis of ECB communication.
• Investigating the tension between ordoliberal and Keynesian economic paradigms in EU governance based on the described research hypothesis.
• Training models to classify economic policy narratives based on the textual data likely contained in the files.

Strengths

• Dataset is openly shared under a permissive CC-BY-4.0 license.
• Includes results from a specific methodological combination: Latent Semantic Scaling and narrative analysis.
• Focuses on a clearly defined institution (the European Central Bank) and policy area (fiscal communication).

Limitations

• Row count and specific column-level documentation are unknown, which limits suitability assessment.
• The 298.8 KB size indicates a very limited scope, likely containing analysis outputs rather than a large corpus of primary texts.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

Lorenzo Lombardi via figshare.

Collection Method

Combines Latent Semantic Scaling (LSS) with narrative analysis on ECB fiscal communication.

Freshness

Last updated 2026-05-06 23:13:06; freshness should be verified.

Geography

European Union / Eurozone.