Automated Author ProfileKrebs, Tom
Krebs, Tom
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: 4.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We use microdata to show that young households with children are underinsured against the risk that an adult member of the household dies. This empirical finding can be explained by a macroeconomic model with human capital risk, age-dependent returns to human capital investment, and endogenous borrowing constraints due to limited contract enforcement. When calibrated, the model quantitatively accounts for the observed life-cycle variation in life insurance holdings, financial wealth, earnings, and consumption inequality. The model also predicts that reforms making consumer bankruptcy more costly will substantially increase the volume of both credit and insurance. (JEL D14, D91, G22, J13, J24)
Authors
- Krebs, Tom ;
- Kuhn, Moritz ;
- Wright, Mark L. J.
We use microdata to show that young households with children are underinsured against the risk that an adult member of the household dies. This empirical finding can be explained by a macroeconomic model with human capital risk, age-dependent returns to human capital investment, and endogenous borrowing constraints due to limited contract enforcement. When calibrated, the model quantitatively accounts for the observed life-cycle variation in life insurance holdings, financial wealth, earnings, and consumption inequality. The model also predicts that reforms making consumer bankruptcy more costly will substantially increase the volume of both credit and insurance. (JEL D14, D91, G22, J13, J24)
Authors
- Krebs, Tom ;
- Kuhn, Moritz ;
- Wright, Mark L. J.