Global Panel Data on Welfare Inequality and Institutions

137 countries are covered in an unbalanced panel spanning from 2010 to 2022. It combines data on welfare inequality, institutional quality, cultural characteristics, and macroeconomic controls from several international sources. The dataset was authored by James Adolphus and hosted by Harvard Dataverse.

Use Cases

• Analyze the relationship between institutional quality metrics and welfare inequality measures across countries.
• Model the influence of cultural characteristics on changes in welfare distribution over the 2010-2022 period.
• Use macroeconomic controls to isolate the effect of institutional factors on inequality in a quantile regression framework.
• Perform dynamic panel analysis to understand how past inequality levels interact with current institutional and cultural variables.

Strengths

• Panel data covers 137 countries, providing a broad cross-national perspective.
• Time series spans 13 years (2010-2022), enabling longitudinal analysis.
• Integrates data from multiple established international sources.

Limitations

• The panel is unbalanced, meaning not all countries have data for every year, which can complicate analysis.
• Specific sample sizes, row counts, and column details are unknown, limiting assessment of statistical power.
• The dataset's recency ends in 2022, which may not capture post-pandemic economic shifts.

Provenance

Source

Harvard Dataverse.

Collection Method

Combined from several international sources.

Time Range

2010 to 2022.

Freshness

Last updated in April 2026.

Geography

Global coverage of 137 countries.