Historical Newspaper Data for Measurement Error Correction

Presenting a replication package for research on using digitized newspapers to address measurement error in historical data. It was authored by Andreas Ferrara and last updated in February 2026. The specific row count, column structure, and file formats are not provided.

Use Cases

• Analyze text from digitized historical newspapers to quantify and correct measurement error in other historical datasets.
• Replicate the methodology from the associated research paper to validate findings on measurement error correction.
• Use the provided data to benchmark new methods for improving the accuracy of historical data derived from digitized sources.

Strengths

• Dataset is a direct replication package for peer-reviewed research, ensuring methodological transparency.
• Last update recorded as February 2026, indicating recent maintenance.

Limitations

• The dataset description lacks concrete details on size, rows, columns, or sample data, making suitability assessment difficult.
• Without specified columns or sample data, the exact structure and analytical variables are unknown.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Replication package for the research paper 'Using Digitized Newspapers to Address Measurement Error in Historical Data'.

Freshness

Last updated on 2026-02-23.