Automated Author ProfileRoberts, John M.
Roberts, John M.
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: 3.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In low-rate environments, policy strategies that involve holding rates "lower for longer" (L4L) may mitigate the effects of the effective lower bound (ELB). However, these strategies work in part by managing the public's expectations, which is not always realistic. Using the Fed's large-scale macroeconometric model, we study the effectiveness of L4L policies when financial market participants are forward-looking but other agents are not. We find that the resulting limited ability to manage expectations reduces but does not eliminate the advantages of L4L policies. The best policies provide adequate stimulus at the ELB while avoiding sizable overshoots of inflation and output.
Authors
- Bernanke, Ben S. ;
- Kiley, Michael T. ;
- Roberts, John M.
In low-rate environments, policy strategies that involve holding rates "lower for longer" (L4L) may mitigate the effects of the effective lower bound (ELB). However, these strategies work in part by managing the public's expectations, which is not always realistic. Using the Fed's large-scale macroeconometric model, we study the effectiveness of L4L policies when financial market participants are forward-looking but other agents are not. We find that the resulting limited ability to manage expectations reduces but does not eliminate the advantages of L4L policies. The best policies provide adequate stimulus at the ELB while avoiding sizable overshoots of inflation and output.
Authors
- Bernanke, Ben S. ;
- Kiley, Michael T. ;
- Roberts, John M.