Automated Author ProfileAlmeida, Alexandre Nunes
Almeida, Alexandre Nunes
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract The objective of this study was to analyze the income differential between the service and industry sectors in Brazil based on the PNADs for the years 2004, 2009 and 2014. First, the wage gap was analyzed between the sectors mentioned using the decomposition by Oaxaca and Blinder, followed by an analysis employing the RIF (Recentered Influence Function) regression method. The results suggest that in the average wage decomposition the wage gap remains favorable to service sector workers in the three years analyzed. However, the analysis of quantiles indicated that the income differentials between sectors was more favorable to the services sector between 2004 and 2014 for the 75th and 90th quantiles of the distribution. In the lower quantiles, however, these differentials were more favorable to the workers in the industry sector.
Authors
- Lacerda, Luciana Pacheco Trindade ;
- Almeida, Alexandre Nunes
Abstract The objective of this study was to analyze the income differential between the service and industry sectors in Brazil based on the PNADs for the years 2004, 2009 and 2014. First, the wage gap was analyzed between the sectors mentioned using the decomposition by Oaxaca and Blinder, followed by an analysis employing the RIF (Recentered Influence Function) regression method. The results suggest that in the average wage decomposition the wage gap remains favorable to service sector workers in the three years analyzed. However, the analysis of quantiles indicated that the income differentials between sectors was more favorable to the services sector between 2004 and 2014 for the 75th and 90th quantiles of the distribution. In the lower quantiles, however, these differentials were more favorable to the workers in the industry sector.
Authors
- Lacerda, Luciana Pacheco Trindade ;
- Almeida, Alexandre Nunes