Replication data supports findings on public organization contracting during extreme weather events. The dataset is aggregated and de-identified for reproducing tables and figures from the associated publication. Author Tipeng Chen provided the data via Harvard Dataverse, last updated in April 2026.
Use Cases
- Analyze relationships between weather event metrics and contract award decisions using aggregated variables.
- Model temporal patterns in government procurement responses using date or fiscal year fields.
- Replicate statistical tests from the publication using the provided de-identified organizational and financial features.
Strengths
- Data is structured for direct replication of published tables and figures.
- Dataset is de-identified, addressing privacy concerns for public records.
Limitations
- Sample size and row count are unknown, limiting assessment of statistical power.
- Specific column names and data types are not provided, complicating immediate analysis.
Provenance
- Source
- Harvard Dataverse, provided by author Tipeng Chen.
- Collection Method
- Aggregated from public organization records, methodology detailed in the associated publication.
- Time Range
- null
- Freshness
- Last updated in April 2026, indicating recent maintenance.
- Geography
- null