Automated Author ProfileRaina, Sahil
Raina, Sahil
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: 8.3 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Replication package for "Debtor Income Manipulation in Consumer Credit Contracts." Includes documentation, programs, and fabricated datasets to replicate all figures and tables in the paper.
Authors
- Raina, Sahil
Replication package for "Debtor Income Manipulation in Consumer Credit Contracts." Includes documentation, programs, and fabricated datasets to replicate all figures and tables in the paper.
Authors
- Raina, Sahil
Replication package for "Debtor Income Manipulation in Consumer Credit Contracts." Includes documentation, programs, and fabricated datasets to replicate all figures and tables in the paper.
Authors
- Raina, Sahil
We analyze whether mid-level managers in securitized finance were aware of a large-scale housing bubble and a looming crisis in 2004-2006 using their personal home transaction data. We find that the average person in our sample neither timed the market nor were cautious in their home transactions, and did not exhibit awareness of problems in overall housing markets. Certain groups of securitization agents were particularly aggressive in increasing their exposure to housing during this period, suggesting the need to expand the incentives-based view of the crisis to incorporate a role for beliefs.
Authors
- Cheng, Ing-Haw ;
- Raina, Sahil ;
- Xiong, Wei
We analyze whether mid-level managers in securitized finance were aware of a large-scale housing bubble and a looming crisis in 2004-2006 using their personal home transaction data. We find that the average person in our sample neither timed the market nor were cautious in their home transactions, and did not exhibit awareness of problems in overall housing markets. Certain groups of securitization agents were particularly aggressive in increasing their exposure to housing during this period, suggesting the need to expand the incentives-based view of the crisis to incorporate a role for beliefs.
Authors
- Cheng, Ing-Haw ;
- Raina, Sahil ;
- Xiong, Wei