Partial Access Index Data for Institutional Analysis

Comprising the coding and materials used to construct the Partial Access Index (PAI), which measures institutional access across four domains: political participation, legal uniformity, educational access, and economic access. The data is based on historical sources and reflects formal eligibility and institutional coverage.

Use Cases

• Analyze the relationship between the Partial Access Index (PAI) and long-run economic development outcomes.
• Replicate or extend the PAI construction methodology for comparative institutional research.
• Study formal institutional access across the four domains of political participation, legal uniformity, educational access, and economic access.

Strengths

• Data supports transparency and replication for research on institutions, inequality, and development.
• Coding is based on historical sources, providing a formal institutional perspective.

Limitations

• The dataset reflects formal eligibility and coverage, not outcomes or enforcement, limiting analysis of real-world impact.
• Sample size, row count, and specific data structure are unknown.

Provenance

Source

Harvard Dataverse

Collection Method

Coding based on historical sources.

Freshness

Last updated on 2026-02-07.