Automated Author ProfileBrown, J. David
U.S. Census Bureau
Brown, J. 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: 2.1 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We document the smaller average employment size and lower financial access of Black-owned compared to White-owned businesses. Controlling for other characteristics, we find that observed differences in finance account for 60 percent of the 11.3 percent racial gap in number of employees; differences in returns account for 103 percent. The results imply that if both the levels and returns on finance were equalized across races, then Black-owned firms would be 18.4 percent larger than their actual size. Equalizing financial factors alone would reverse the firm size gap, so that Black-owned firms would be larger than White-owned firms by 7.1 percent.
Authors
- Brown, J. David ;
- Earle, John S. ;
- Kim, Mee Jung ;
- Lee, Kyung Min ;
- Wold, Jared
We document the smaller average employment size and lower financial access of Black-owned compared to White-owned businesses. Controlling for other characteristics, we find that observed differences in finance account for 60 percent of the 11.3 percent racial gap in number of employees; differences in returns account for 103 percent. The results imply that if both the levels and returns on finance were equalized across races, then Black-owned firms would be 18.4 percent larger than their actual size. Equalizing financial factors alone would reverse the firm size gap, so that Black-owned firms would be larger than White-owned firms by 7.1 percent.
Authors
- Brown, J. David ;
- Earle, John S. ;
- Kim, Mee Jung ;
- Lee, Kyung Min ;
- Wold, Jared
This is replication code for "Citizenship Question Effects on Household Survey Response". The SAS program creates housing unit-level variables for the housing units in the 2019 Census Test. The Stata program mergesthese data together with the 2019 Census Test data, creates some additional variables, and produces the analysis in the paper.
Authors
- Brown, J. David
Replication data for Privatization, a chapter in the Oxford Handbook of the Russian Economy (Michael Alexeev and Shlomo Weber, eds.), 2013.
Authors
- Brown, J. David ;
- Earle, John S. ;
- Gehlbach, Scott
Replication data from "Helping Hand or Grabbing Hand? State Bureaucracy and Privatization Effectiveness," published in the American Political Science Review.
Authors
- Gehlbach, Scott ;
- Earle, John S. ;
- Brown, J. David