Automated Author ProfileMagni, Gabriele
Magni, Gabriele
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 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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Authors
- Magni, Gabriele
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Authors
- Magni, Gabriele
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Authors
- Magni, Gabriele
The replication file includes the original survey experiment data set, an R file for the survey experiment, and an R file for the analysis based on the ESS data and the data by Rueda and Stegmueller.ESS data are freely available online on the European Social Survey website (file name: "ESS4-2008, ed. 4.3 - Multilevel Data").Data by Rueda and Stegmueller are available from the authors and on the Harvard Dataverse (file name: "Replication Data for: The Externalities of Inequality: Fear of Crime and Preferences for Redistribution in Western Europe").
Authors
- Magni, Gabriele
Calculation of means and proportions in Excel
Authors
- Magni, Gabriele ;
- Ponce De Leon, Zoila
Word file explaining how the analysis was conducted
Authors
- Magni, Gabriele ;
- Ponce De Leon, Zoila
Dataset with experimental data
Authors
- Magni, Gabriele ;
- Ponce De Leon, Zoila
R file containing code for appendix tables
Authors
- Magni, Gabriele ;
- Ponce De Leon, Zoila
Are elected officials more responsive to men than women inquiring about access to government services? Women face discrimination in many realms of politics, but evidence is limited on whether such discrimination extends to interactions between women and elected officials. In recent years, several field experiments have examined public officials’ responsiveness. The majority focused on racial bias in the United States, while the few experiments outside the US were usually single-country studies. We explore gender bias with the first large-scale audit experiment in 5 countries in Europe (France, Germany, Ireland, Italy, Netherlands) and 6 in Latin America (Argentina, Brazil, Chile, Colombia, Mexico, Uruguay). A citizen alias whose gender is randomized contacts members of parliament about unemployment benefits or healthcare services. The results are surprising. Legislators respond significantly more to women (+3% points), especially in Europe (+4.3% points). In Europe, female legislators in particular reply substantially more to women (+8.4% points).
Authors
- Magni, Gabriele ;
- Ponce de Leon, Zoila