Latin American Intraregional Trade Patterns with Value-Added Metrics

A 2026 analysis dataset from Harvard Dataverse, authored by Shelest, Moshe Pavel, enables replication of research on intraregional trade gaps in Latin America. It combines trade data from CEPII BACI with control variables from the World Bank and V-Dem Institute. The repository includes cleaned data for regression analysis, documented scripts, and external links to the primary BACI dataset.

Use Cases

• Analyze intraregional trade patterns using value-added trade weighted by Lall (2000) technological classifications.
• Replicate regression analysis on trade determinants using combined data from CEPII BACI, World Bank, and V-Dem Institute.
• Study the relationship between control variables from external sources and regional trade performance in Latin America.
• Apply documented data cleaning and transformation scripts to reconstruct the analysis workflow.

Strengths

• Includes fully documented code for data cleaning, transformation, and statistical modeling, enabling full replication.
• Integrates data from multiple authoritative sources: CEPII BACI, World Bank, and V-Dem Institute.

Limitations

• The core CEPII BACI trade dataset is not included directly due to size constraints, requiring external access.
• Specific row counts, column details, and temporal coverage of the final cleaned dataset are not provided.

Provenance

Source

CEPII BACI dataset (based on UN Comtrade), World Bank, V-Dem Institute.

Collection Method

Combined and cleaned from multiple public sources for regression analysis.

Freshness

Last updated on 2026-03-30.

Geography

Latin America.