Altos directivos públicos: Un nuevo conjunto de datos de miembros del servicio civil chileno
Abstract
This paper presents a novel dataset of senior public managers in Chile in 2009-2017. This methodological study focuses on demonstrating how data mining and machine learning can be useful for the creation of the dataset and its potential applications. We explain how we created and validated the dataset before going in to present some descriptive applications and non-parametric survival estimates with Kaplan-Meier curves. We hope that this dataset will serve as a relevant resource for gaining a deeper understanding of the Chilean civil service and making different comparisons through which to expand this research line on political and government personnel.
Bastián González-Bustamante
Post-doctoral Researcher
Post-doctoral Researcher in Computational Social Science and a lecturer in Governance and Development at the Institute of Public Administration at the Faculty of Governance and Global Affairs at Leiden University, Netherlands. Lecturer at the School of Public Administration at Universidad Diego Portales and Research Associate in Training Data Lab, Chile.