Automated Organization ProfileTuck School of Business
Tuck School of Business
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: 3.5 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
How pervasive is partisan sorting and polarization over public policies in the American public? We examine whether the barriers of partisan sorting and polarization seen in national politics extend to important local policies that shape economic development. To describe the extent of partisan sorting and polarization over local development policies, we employ conjoint survey experiments in representative surveys of eight U.S. metropolitan areas and a hierarchical modeling strategy for studying heterogeneity across respondents. We find that strong partisans are sorted by party in some of their policy opinions, but rarely polarized. The same voters who disagree about national issues have similar preferences about local development issues suggesting a greater scope for bipartisan problem solving at the local level.
Authors
- Marble, William ;
- Jensen, Amalie ;
- Scheve, Kenneth ;
- Slaughter, Matthew J.
Stata file
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew
Readme
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew
Stata file
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew
Replication data for: "Two-Sided Heterogeneity and Trade"
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew
Matlab file
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew
Stata file
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew
Stata file
Authors
- Moxnes, Andreas ;
- Ulltveit-Moe, Karen Helene ;
- Bernard, Andrew