LUCAS SALVADOR ANDRIETTA
Projetos de Pesquisa
Unidades Organizacionais
LIM/39 - Laboratório de Processamento de Dados Biomédicos, Hospital das Clínicas, Faculdade de Medicina
2 resultados
Resultados de Busca
Agora exibindo 1 - 2 de 2
- Pensions and Commodification Under the PT Governments (2003-2015)(2020) ANDRIETTA, Lucas Salvador; LEMOS, Patricia Rocha; FAGNANI, EduardoAn analysis of the development of the Brazilian pension system's issues under the Partido dos Trabalhadores (Workers' Party-PT) governments focused on four main themes: austerity policy, payroll tax exemptions for employers, expansion of supplementary pensions, and union strategies associated with pension funds. The way the PT governments acted in these areas, despite expressing a different arrangement of interests from those of previous administrations that were self-declared neoliberal, did not change the general course of the comodification of social policy.
- Physicians? income in Brazil: a study on information sources(2022) SCHEFFER, Mario; RIBEIRO, Felipe Oliveira Pinto; POZ, Mario Dal; ANDRIETTA, LucasOBJECTIVE: Data on physicians??? income are relevant for well-informed health policies, both due to their strategic role and the volume of resources that their activities represent to health systems. In Brazil, multiple sources of data measure the income of these professionals, each one with singularities that generate a complex and heterogeneous picture. This study explores the methodological aspects of different data sources, pointing to potentials and limitations to measuring the income of physicians. METHODS: We use the sources??? documentation and data on the average monthly income in 2019, by gender and macro region, from four distinct surveys: Continuous Pnad (National Household Sample Survey), RAIS (Annual Listing of Social Information), Medical Demographics, and IRPF (Personal Income Tax). RESULTS: The results confirm the heterogeneity of definitions, variables, and methodologies. The data set can evidence phenomena such as the income difference between men and women. Regional inequalities are evident; however, the data interpretation is less assertive. CONCLUSIONS: Although eventual gaps and discrepancies among sources can limit some strong conclusions, the analysis of different methodologies employed can suggest relevant hypotheses for in-depth studies.