Automated Author ProfileZafar, Basit
University of Michigan
Zafar, Basit
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: 15.8 (sum of 31 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Review of Economics and Statistics: Forthcoming.
Authors
- Kosar, Gizem ;
- Cortes, Patricia ;
- Pan, Jessica ;
- Zafar, Basit
The data and programs replicate tables and figures from "Gender Differences in Job Search and the Earnings Gap: Evidence from the Field and Lab," by Cortes, Pan, Pilossoph, Reuben, and Zafar. Please see the README_jobsearch_qje file for additional details.
Authors
- Cortes, Patricia ;
- Pan, Jessica ;
- Pilossoph, Laura ;
- Reuben, Ernesto ;
- Zafar, Basit
Using administrative data from a large public university, we show that male students are 18.6% more likely than female students to receive favorable grade changes made by instructors. Surveys of students and instructors reveal that regrade requests are prevalent, and that male students are more likely to ask for regrades on the intensive margin. We corroborate the gender differences in regrade requests in an incentivized controlled experiment: we find that males have a higher willingness to pay to ask for regrades. Almost a third of the gender difference is due to gender differences in beliefs and the Big Five traits.
Authors
- Li, Cher ;
- Zafar, Basit
Using administrative data from a large public university, we show that male students are 18.6% more likely than female students to receive favorable grade changes made by instructors. Surveys of students and instructors reveal that regrade requests are prevalent, and that male students are more likely to ask for regrades on the intensive margin. We corroborate the gender differences in regrade requests in an incentivized controlled experiment: we find that males have a higher willingness to pay to ask for regrades. Almost a third of the gender difference is due to gender differences in beliefs and the Big Five traits.
Authors
- Li, Cher ;
- Zafar, Basit
Using administrative data from a large public university, we show that male students are 18.6% more likely than female students to receive favorable grade changes made by instructors. Surveys of students and instructors reveal that regrade requests are prevalent, and that male students are more likely to ask for regrades on the intensive margin. We corroborate the gender differences in regrade requests in an incentivized controlled experiment: we find that males have a higher willingness to pay to ask for regrades. Almost a third of the gender difference is due to gender differences in beliefs and the Big Five traits.
Authors
- Li, Cher ;
- Zafar, Basit
Data
Authors
- Faia, Ester ;
- Fuster, Andreas ;
- Pezone, Vincenzo ;
- Zafar, Basit
Table
Authors
- Faia, Ester ;
- Fuster, Andreas ;
- Pezone, Vincenzo ;
- Zafar, Basit
STATACode
Authors
- Faia, Ester ;
- Fuster, Andreas ;
- Pezone, Vincenzo ;
- Zafar, Basit
Table
Authors
- Faia, Ester ;
- Fuster, Andreas ;
- Pezone, Vincenzo ;
- Zafar, Basit