Furthermore, GLM’s such as Truncated, Normal, Gamma and Tweedie distributions are employed for comparisons.
📌 3 Key Takeaways
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Objective & Hypothesis:The purpose of this study is to determine the factors that influence the effectiveness of the health sector by combining Stochastic Frontier Analysis (SFA), Generalized Linear Models (GLM) and Heuristic Algorithms methods.
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Key Findings & Data:In accordance with this purpose, firstly, the health system efficiencies of 29 OECD countries are estimated by the SFA method.
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Conclusion & Impact:Furthermore, GLM’s such as Truncated, Normal, Gamma and Tweedie distributions are employed for comparisons.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Efficiency · Generalized linear models · Heuristic algorithms
Abstract
The purpose of this study is to determine the factors that influence the effectiveness of the health sector by combining Stochastic Frontier Analysis (SFA), Generalized Linear Models (GLM) and Heuristic Algorithms methods. In accordance with this purpose, firstly, the health system efficiencies of 29 OECD countries are estimated by the SFA method. Within the scope of this study, it is also aimed to select the factors influencing the efficiency of the health systems in OECD countries by employing Heuristic Algorithm methods such as Artificial Bee Colony Algorithm, Genetic Algorithm, and Differential Evolution Algorithm. Furthermore, GLM’s such as Truncated, Normal, Gamma and Tweedie distributions are employed for comparisons.
TURAN, S. C., CENGİZ, M. A. (2020). Determining the Factors that Influence the Effectiveness of the Health Sector in the OECD Countries. Sakarya University Journal of Science, Cilt: 24 Sayı: 5, 1094–1104. https://ajindex.com/articles/941890
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