Automated Organization ProfileLund University, Department of Economic History
Lund University, Department of Economic History
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 7.2 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is a replication package for the paper "Winners and Losers: The Asymmetric Impact of Tariff Protection on Late-Nineteenth-Century Swedish Manufacturing Firms" by Vinzent Ostermeyer.
Authors
- Ostermeyer, Vinzent
This is a replication package for the paper "Winners and Losers: The Asymmetric Impact of Tariff Protection on Late-Nineteenth-Century Swedish Manufacturing Firms" by Vinzent Ostermeyer.
Authors
- Ostermeyer, Vinzent
High racial disparities between Europeans and Africans andhigh skill premiums are recurrent themes in the literature on inequality incolonial Africa. However, their determinants and effects on inequality remainunderexplored. This paper investigates wage inequality, skill premiums, andracial discrimination in British Tanganyika from c. 1920 to 1960. It providesfirst estimates for wage inequality and race premiums in Tanganyika and extendsthe coverage of earlier skill premium estimates. Initially, wage inequality inTanganyika was comparable to neighbouring Kenya and Uganda, but it remainedhigher in the late colonial period. A primary driver of wage inequality wasracial wage disparity, which was partly caused by racial discrimination. Skillpremiums also played an important and increasing role and were higher thanpreviously thought. The Tanganyikan administration's failure to expand Africaneducation to meet skilled labour demand significantly contributed to racialincome differences and wage inequality within the African labour force.
Authors
- Klocke, Sascha
High racial disparities between Europeans and Africans andhigh skill premiums are recurrent themes in the literature on inequality incolonial Africa. However, their determinants and effects on inequality remainunderexplored. This paper investigates wage inequality, skill premiums, andracial discrimination in British Tanganyika from c. 1920 to 1960. It providesfirst estimates for wage inequality and race premiums in Tanganyika and extendsthe coverage of earlier skill premium estimates. Initially, wage inequality inTanganyika was comparable to neighbouring Kenya and Uganda, but it remainedhigher in the late colonial period. A primary driver of wage inequality wasracial wage disparity, which was partly caused by racial discrimination. Skillpremiums also played an important and increasing role and were higher thanpreviously thought. The Tanganyikan administration's failure to expand Africaneducation to meet skilled labour demand significantly contributed to racialincome differences and wage inequality within the African labour force.
Authors
- Klocke, Sascha