Replication Data for Preferential Trade Agreement Design Under Uncertainty

World Trade Review Dataverse provides raw data and code scripts to replicate statistical estimations from a 2025 paper. The data supports analysis of how uncertainty affects the design of preferential trade agreements. Author Leopoldo Biffi contributed this replication package, last updated in May 2026.

Use Cases

• Replicate OLS regression results based on the statistical models described in the paper
• Replicate Heckman selection model results based on the methodology mentioned in the description
• Conduct sensitivity checks on the core findings as referenced in the paper's appendix
• Use the provided code scripts for econometric analysis of trade policy data

Strengths

• Includes all raw data files necessary to replicate the paper's statistical estimations
• Contains code scripts for both OLS and Heckman selection models
• Last updated on 2026-05-18, indicating recent maintenance

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and dataset scale are unknown, which may limit suitability assessment

Provenance

Source

World Trade Review Dataverse

Collection Method

Data compiled for academic research and replication, likely from official trade agreement sources.

Freshness

Last updated 2026-05-18 14:52:07