Automated Author ProfileRosolia, Alfonso
Rosolia, Alfonso
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 4.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
After an earthquake hit Southern Italy in 1980, young men from certain towns were exempted from compulsory military service. We show that the exemption raised high-school-graduation rates of boys by more than 2 percentage points. We do this by comparing high-school-graduation rates of young exempt men and older nonexempt men from the least damaged areas and men of the same age groups from nearby towns that were not hit by the quake. Similar comparisons show that graduation rates of young women in the affected areas also increased. Since in Italy women are not subject to the draft, the findings suggest the presence of spillover effects. (JEL I21, J13)
Authors
- Cipollone, Piero ;
- Rosolia, Alfonso
After an earthquake hit Southern Italy in 1980, young men from certain towns were exempted from compulsory military service. We show that the exemption raised high-school-graduation rates of boys by more than 2 percentage points. We do this by comparing high-school-graduation rates of young exempt men and older nonexempt men from the least damaged areas and men of the same age groups from nearby towns that were not hit by the quake. Similar comparisons show that graduation rates of young women in the affected areas also increased. Since in Italy women are not subject to the draft, the findings suggest the presence of spillover effects. (JEL I21, J13)
Authors
- Cipollone, Piero ;
- Rosolia, Alfonso