State-level data on benefit reduction rates in Germany's Citizen's Benefit program is combined with regional newspaper articles from 2010 to 2019. The dataset was created by Stefanie Rueß and is hosted by Harvard Dataverse. It was last updated on June 1, 2026.
Use Cases
- Analyze the relationship between regional news narratives on immigration and administrative outcomes based on the described topic modeling.
- Study spatial variation in welfare decision-making across German states using the panel data analysis framework mentioned.
- Investigate the 'regional media bias mechanism' by correlating media frames with benefit reduction rates for immigrants.
Strengths
- Data covers a ten-year time range from 2010 to 2019.
- Combines two distinct data types: administrative records and newspaper text.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Combines state-level administrative data with regional newspaper articles, analyzed via topic modeling and panel data analysis.
- Time Range
- 2010-2019
- Freshness
- Last updated 2026-06-01 15:03:47; freshness should be verified.
- Geography
- Germany (regional/state level)