This dataset documents wage and human capital differences between agriculture and other sectors across 13 countries, including Canada, the U.S., India, and Indonesia. It contains data on average wages, worker education levels, and Mincer returns to education. The data is used to derive implied barriers to labor reallocation out of agriculture.
Use Cases
- Analyze average wage disparities between agricultural and non-agricultural sectors across 13 countries.
- Model the relationship between worker education levels and Mincer returns within different sectors.
- Estimate implied barriers to labor reallocation using sectoral differences in human capital intensity.
Strengths
- Comparative data from 13 countries ranging from high-income to low-income economies.
- Includes analysis of multiple human capital factors: wages, education, and Mincer returns.
Limitations
- Specific sample size, column definitions, and raw data structure are not provided.
- Geographic coverage is limited to the 13 specified countries.
Provenance
- Source
- ICPSR Harvested Dataverse
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- 13 countries including Canada, U.S., India, and Indonesia