Automated Author ProfileTimmer, Yannick
Board of Governors of the Federal Reserve System
Timmer, Yannick
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: 0.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
To shed light on potential linkages between labor market power and the trade-off between unemployment and wages, this paper uses a highly disaggregated dataset of 250 million online vacancy postings in the United States from Lightcast (formerly Burning Glass Technologies). Labor market power is measured by the Herfindahl-Hirschman index (HHI) of vacancies in a commuting zone and is found to be more prevalent in less densely populated rural areas, where average incomes tend to be lower and job seekers have fewer employers to choose from. We estimate the Phillips curve at the commuting zone level and exploit regional variation in the degree of labor market power.
Authors
- Burya, Anastasia ;
- Mano, Rui ;
- Timmer, Yannick ;
- Weber, Anke
To shed light on potential linkages between labor market power and the trade-off between unemployment and wages, this paper uses a highly disaggregated dataset of 250 million online vacancy postings in the United States from Lightcast (formerly Burning Glass Technologies). Labor market power is measured by the Herfindahl-Hirschman index (HHI) of vacancies in a commuting zone and is found to be more prevalent in less densely populated rural areas, where average incomes tend to be lower and job seekers have fewer employers to choose from. We estimate the Phillips curve at the commuting zone level and exploit regional variation in the degree of labor market power.
Authors
- Burya, Anastasia ;
- Mano, Rui ;
- Timmer, Yannick ;
- Weber, Anke