2,003 bilateral observations covering 50 African countries from 2010 to 2019 combine trade flows with macroeconomic and financial indicators. Richard Wanzala compiled the data from sources including the World Integrated Trade Solution and World Development Indicators to estimate an extended gravity model of trade. The dataset includes variables such as GDP, population, distance, inflation, FDI, and stock market indices to analyze drivers of trade integration.
Use Cases
- Estimating gravity models of trade based on bilateral trade flows, GDP, and distance.
- Analyzing the impact of stock market integration on trade patterns using All Share Index data.
- Studying how macroeconomic stability, proxied by inflation, affects bilateral trade relationships.
- Investigating the role of infrastructure quality and foreign direct investment in shaping African trade.
Strengths
- Covers 50 African countries over a 10-year period (2010–2019), providing temporal depth.
- Contains 2,003 bilateral observations, offering a substantial sample for panel analysis.
- Integrates data from multiple authoritative sources like WITS and WDI for reliability.
- Includes a variety of economic, structural, and financial variables for multivariate analysis.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for specific modeling needs.
- Data may reflect geographic bias inherent to its focus on African countries only.
Provenance
- Source
- World Integrated Trade Solution (WITS), World Development Indicators (WDI), and proprietary stock market sources.
- Collection Method
- Compiled from multiple public and proprietary sources to create an unbalanced panel dataset.
- Time Range
- 2010–2019
- Freshness
- Last updated 2026-07-20 12:31:40; freshness should be verified.
- Geography
- 50 African countries