This dataset supports an analysis of the 1933 Ukrainian famine, which caused up to 2.6 million excess deaths. It is used to evaluate the explanatory power of weather, collectivization policies, and ethnic discrimination on mortality rates.
Use Cases
- Analyze the relationship between weather data and excess deaths to quantify its explanatory power.
- Model the impact of collectivization policies on famine mortality across regions.
- Investigate patterns of excess deaths among ethnic Ukrainian and German populations.
Strengths
- Analysis is grounded in a historical event with a documented excess death toll of up to 2.6 million people.
- The study quantifies the explanatory contribution of specific factors, such as weather accounting for up to 8.1% of excess deaths.
Limitations
- The specific data columns, sample size, and file formats are not provided in the input.
- The dataset appears focused on a single historical event, limiting generalizability.
Provenance
- Source
- Natalya Naumenko via ICPSR Harvested Dataverse.
- Collection Method
- Archival data compilation, methodology described in the associated paper.
- Time Range
- Centered on 1933, with references to 1924-1932.
- Freshness
- null
- Geography
- Ukraine.