Automated Author ProfileStehr, Frauke
University of Vienna0000-0001-9771-1295
Stehr, Frauke
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We investigate in a controlled laboratory setting to what extent buyers are willing to offset negative consumption externalities. In one treatment dimension, we vary whether the externality associated with a purchase is irreversible, or can be reduced ex post by a voluntary payment. In a second treatment dimension, we induce diffusion of harm among harmed subjects and diffusion of responsibility among buyers by separately varying the matching of buyers and harmed subjects.We find that subjects are on average willing to compensate for their negative externalities, and that this willingness is sensitive to the surplus from buying. Yet, experimental buyers are highly heterogeneous, with some never compensating. While the introduction of voluntary compensation significantly reduces externalities, the net externality still remains high across all treatments. Diffusion of responsibility tends to reduce the size of compensation and to increase overall net externalities in the main experiment. An additional control treatment reveals that under diffusion of responsibility among buyers, patterns of conditional cooperation seem to drive compensation in the present setting: The amount paid for compensation increases with higher beliefs about the compensation by other buyers.
Authors
- Stehr, Frauke ;
- Werner, Peter