Gender Diversity and Governance Disclosure Readability in Brazilian Credit Cooperatives

A longitudinal dataset explores the relationship between gender diversity in leadership and the textual complexity of governance disclosures in Brazilian credit cooperatives. The research employs multiple readability indices adapted for Portuguese to analyze bylaws. Authored by Lerner, Arthur Frederico and hosted on Harvard Dataverse, the dataset was last updated on 2026-05-15.

Use Cases

• Analyze the impact of leadership gender diversity on governance document readability based on the study's focus.
• Conduct longitudinal studies on governance practices within financial cooperatives based on the dataset's temporal nature.
• Benchmark Portuguese-language text complexity using adapted readability indices mentioned in the description.
• Investigate the link between academic theory and practical governance issues in member-based organizations as described.

Strengths

• Focuses on a specific and understudied context: Brazilian financial cooperatives.
• Employs a longitudinal design, suggesting repeated measures over time.
• Uses multiple readability indices specifically adapted for the Portuguese language.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Harvard Dataverse

Collection Method

Likely gathered from financial cooperative disclosures for research purposes.

Freshness

Last updated 2026-05-15 13:03:03; freshness should be verified.

Geography

Brazil