Nathan Nunn from Harvard University analyzes the differential effect of rugged terrain on income for all countries worldwide, with a focus on Africa. The study shows that ruggedness had a statistically significant and economically meaningful positive effect on income in Africa, which is fully accounted for by the history of the slave trades. The dataset likely contains country-level geographic and economic indicators used to support this analysis.
Use Cases
- Modeling the relationship between geographic ruggedness and economic outcomes based on global country data.
- Analyzing the historical impact of the slave trades on African development using geographic variables.
- Testing for differential effects of terrain on income across continents, as described in the study.
Strengths
- Analysis is based on a global study of all countries, providing a broad comparative context.
- The differential effect of ruggedness is shown to be statistically significant and economically meaningful for Africa.
- The dataset likely contains variables to control for other factors like Africa's unique geographic environment.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Nathan Nunn, Harvard University
- Collection Method
- Likely compiled from historical, geographic, and economic sources for statistical analysis.
- Time Range
- null
- Freshness
- null
- Geography
- Global, with a focus on Africa