Legal Origin and Moral Distance: Harmonized Country-Level Replication Data

Michael D. Wang (2026) provides a harmonized country-level dataset and a specialized moral-distance matrix for analyzing legal origins and administrative power. The repository includes donor-recipient assignments and Jupyter notebooks designed to reproduce specific regression results and heatmaps from the companion research article.

Use Cases

• Quantifying legal differences between nations using the moral-distance matrix
• Modeling administrative power impacts on market efficiency using the harmonized country-level data
• Replicating econometric findings on legal origins using the provided regression notebooks

Strengths

• Includes a specialized moral-distance matrix for quantifying legal differences
• Provides full replication code via three Jupyter notebooks
• Contains harmonized country-level data ready for regression analysis

Limitations

• Specific column headers and row counts are not detailed in the repository metadata
• Geographic coverage is limited to the countries included in the original study's donor-recipient model

Provenance

Source

Michael D. Wang, Harvard Dataverse

Collection Method

Harmonization of country-level legal and economic data

Freshness

Last updated March 2026.

Geography

Global