Personalizing the presidency: Dilma Rousseff and a study of leadership personalities in Brazilian foreign policy
Principal Investigator(s): View help for Principal Investigator(s) Pedro Feliu Ribeiro, University of São Paulo
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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Interviews_links.xlsx | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | 161.4 KB | 07/05/2021 04:59:AM |
Replication_data.dta | application/x-stata-dta | 79.5 KB | 01/11/2022 03:52:AM |
replication_routines.do | text/plain | 5.8 KB | 07/05/2021 04:58:AM |
Project Citation:
Feliu Ribeiro, Pedro. Personalizing the presidency: Dilma Rousseff and a study of leadership personalities in Brazilian foreign policy. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-01-11. https://doi.org/10.3886/E159141V1
Project Description
Summary:
View help for Summary
Many important studies associate the presidential profile of Dilma Rousseff to
the loss of domestic density and reach of Brazil’s foreign policy, a perspective
not yet confirmed by psychological mechanisms of leadership behavior in
foreign policy. We offer a contribution by exploring the Leadership Trait
Analysis framework with which personality concepts and comparisons
between Brazilian presidents are examined. Our main findings reveal that
Rousseff has leadership traits in close proximity to the average of Brazilian
presidents, although her distinctions on “respecting constrains” and “focusing
on causes” style mirror much of the impressions raised by the literature over
her presidency.
This archives contain all the LTA estimation by Brazilian presidents in STATA format, as well as the routines in STATA to develop supllementary documents and mean comparison between groups and an exel archive with the links of each interview (raw data) used to estimate LTA
This archives contain all the LTA estimation by Brazilian presidents in STATA format, as well as the routines in STATA to develop supllementary documents and mean comparison between groups and an exel archive with the links of each interview (raw data) used to estimate LTA
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