Project Title
Hacia la modernización del estado: modelado analítico de capacidades estatales basado en datos de dotación de personal
Partner Organisations
Internal ID
ID19I10198
Principal Investigator
Start Date
2019

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    Item type:Publication,
    Inside the Black Box: Uncovering Dynamics and Characteristics of the Chilean Central Government Bureaucracy with a Novel Dataset
    (2024)
    Daniel Brieba
    ;
    HERRERA MARÍN, MAURICIO RENÉ  
    ;
    Marcelo Riffo
    ;
    GARRIDO MELLA, DANILO GUILLERMO FELIPE
    This 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.
    Scopus© Citations 3  1
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    Item type:Publication,
    Mapping employment dynamics in public agencies with payroll data: A methodological framework with an application to Chile
    (Public Library of Science (PLoS), 2024-12-31)
    HERRERA MARÍN, MAURICIO RENÉ  
    ;
    Daniel Brieba
    ;
    Floris Vermeulen
    <jats:p>This 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 Propensity 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.</jats:p>
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