Tools, methods, and some caveats to analyze the Brazilian Judiciary Performance data.
DOI:
https://doi.org/10.21118/apgs.v13i1.9225Keywords:
Judiciary Performance, OLS, PLS-SEM, IPMA, Non-LinearAbstract
Objective: it discusses the judiciary´s performance antecedents in Brazil. It based its model on the work of Dimitrova-Grajzl, Grajzl, Sustersic, and Zajc (2012) about the Slovenian courts.
Design: performance, human capital, expenditures, investment in new technologies, and caseload is measured using OLS, PLS-SEM, IPMA, and quadratic regression using CNJ data.
Findings: The quantitative results show workforce profiles in details, the linear relationship, and the moderating effect of workload as not significant, while its quadratic effect enriches the discussion about productivity.
Originality: the results and the methodological path and data caveats are opportunities for future works to explain the ambiguities when performance is compared using Dimitrova-Grajzl´s and present work models.
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