The Demographic Profile of Municipal, State and Federal Public Servants in Their First Job, Brazil, 2014.
Entry age; public servants; first job.
Historically, the Brazilian public service has been an important path to social advancement and professional stability. An analysis of the demographic profile of public servants in their first job can reveal important factors regarding the distribution of opportunities, inequality, and the representation of different groups in public administration. This analysis can influence both the formulation of public policies and the management of human resources in the public sector. Given the above, the main objective of this study is to analyze the influence of personal characteristics (gender, race/color, and education) on the age at which public servants start their first job, by level of the federative entity (municipal, state, and federal) in Brazil in 2014. To this end, the age range of public servants at the time of their first job will be analyzed, as well as variations in the demographic profile of these servants, taking into account the different federative levels. In addition, aspects such as position in the job, whether they were military or civil servants, and whether they had a formal employment contract at the time of their first job will be examined. The study will also seek to compare the age of entry into the labor market among different demographic groups (cohorts), identifying possible existing inequalities. Finally, the interaction between the different independent variables and their combined effects on the age of entry into the labor market will be analyzed. These elements will allow a comprehensive understanding of the factors that influence the entry into the labor market of public servants, contributing to a critical analysis of inequalities and labor dynamics in Brazil. To carry out this analysis, data from the National Household Sample Survey (PNAD 2014) supplement regarding Socio-occupational Mobility will be used. The methodology used will be through descriptive and inferential analyses, using statistical techniques such as multiple linear regression and Analysis of Variance (ANOVA) to analyze the relationship between the dependent variable (age of entry into the labor market) and independent variables (race/color, sex, region, level of federative unit).