Automated Author ProfileWeisstanner, David
University of Bern
Weisstanner, David
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: 0.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Do coalition governments really suffer from short time horizons in fiscal policy-making, as posited by standard political economy models? This article focuses on coalitions which have created high levels of familiarity through shared governing experience in the past and which are likely to cooperate again in future governing coalitions. I argue that such coalitions have incentives to internalize the future costs of debt accumulation and reach credible agreements to balance their constituencies’ fiscal preferences. Moreover, sustaining broad coalitions should have electoral advantages to implementing controversial economic reforms, thus resulting with lower debt increases compared not only to less durable coalitions, but also to single-party governments. Comparing 36 OECD/EU democracies between (up to) 1962 and 2013, I estimate the effects of coalitions’ cooperation prospects on the dynamics of public debt. The findings indicate that long time horizons can help coalitions to overcome intertemporal coordination problems and to reach specific policy goals.
Authors
- Weisstanner, David