Browsing by Author "Brieba, Daniel"
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Publication Inside the Black Box: Uncovering Dynamics and Characteristics of the Chilean Central Government Bureaucracy with a Novel Dataset(2024) Brieba, Daniel; Herrera-Marín, Mauricio-René; Riffo, Marcelo; Garrido, DaniloThis article examines bureaucracies using a novel dataset of Chilean central government employees from 2006 to 2020. Unlike perception-based sources, this dataset provides objective, disaggregated, and longitudinal insights into bureaucrats’ characteristics and careers. The authors validate it against official employment statistics and conduct an exploratory and descriptive analysis, presenting six descriptive findings about the Chilean bureaucracy that cannot be discovered using available aggregate data. The analysis reveals significant degrees of personnel stability and professionalization in the civil service, but with considerable rigidity in careers and substantial interagency heterogeneity in turnover, wages, and exposure to political cycles. These findings suggest that the Chilean national bureaucracy is mostly well developed along Weberian lines, though not uniformly so. These measurements also serve as a benchmark for comparing other Latin American bureaucracies in the future.Publication Mapping employment dynamics in public agencies with payroll data: A methodological framework with an application to Chile(2024) Herrera Marín, Mauricio; Brieba, DanielThis study introduces a novel, replicable methodology for analyzing employment dynamics within public sector agencies, focusing on turnover and staff longevity. The methodology is designed to be generalizable and applicable to diverse national contexts where detailed administrative data is available. Using payroll data from over 325,000 Chilean civil servants (2006—2020), we apply mixed-effects Cox survival models and linear mixed models to examine patterns of employment stability across state agencies. By incorporating Propen sity Score Matching, we further enhance the causal interpretation of turnover changes, especially in post-election years. Finally, we introduce two key metrics—Service Frailty and Relative Turnover Difference—to quantify long-term stability and short-term, post-electoral disruptions. Our findings highlight substantial differences in turnover patterns between regular and post-election years, as well as significant inter-agency heterogeneity in turnover and employee longevity, largely driven by latent agency characteristics. While major covariates like contract type and staff rank account for some variation, much of the disparity stems from agency-specific factors. This framework offers precise, cross-nationally comparable benchmarks for understanding public sector employment dynamics. Additionally, the methodology contributes to the literature by providing transparent and scalable tools for analyzing workforce stability across different contexts.Item Understanding Water Disputes in Chile by Text and Data Mining tools.(Taylor & Francis, 2019) Herrera, Mauricio; Candia, Cristián; Rivera, Diego; Aitken, Douglas; Brieba, Daniel; Boettiger Philipps, Camila; Guillermo, Donoso; Godoy Faúndez, AlexThis paper provides a multidimensional study based on data and text mining of prosecuted disputes on water rights in Chile, and an analysis of the state’s capacity, particularly of the institutions related to water regulation. This study shows not only a substantial increase of legal disputes regarding water rights over the years (1981- 2014), but also clear patterns in the geographic location of these conflicts, as well as in the types of legal actions, arguments and strategies used in their pursuit. Through a topic analysis, we find a growing diversification over time of the subjects contained in the legal claims, suggesting an increase in structure and complexity.