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Furthermore, it is unclear which model features are essential to producing reasonable gain properties.
The model features are visually represented by functionality diagrams that model system variability notwithstanding the used implementation mechanism, such as inheritance, templates or conditional compilation.
Subsequently, a practical typology is proposed, existing of energy system evolution, optimisation, simulation, accounting and integration models, and key model features are compared.
On the other side, the current ways to model features are considered problematic since it lacks a principled and uniform methodology for feature representation.
Applications for a set of common model features are demonstrated, and the results combined in an example application to a real-world experimental system.
A large literature has now developed, starting from Shimer (2005) and summarized nicely in Mortensen and Nagypal (2007), on what model features are necessary for the DMP model to replicate aggregate fluctuations in productivity, unemployment and vacancies.
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In specific, a topic view accounting for the model features is designed for overall understanding and interactive exploration of the topic organization.
Nevertheless, the discrepancy between self-perceived familiarity with the model and variable interpretations of the model features is striking.
The above model features were combined into an ordinal piecewise regression model, which was programmed using the NLMIXED procedure of the SAS package [ 24].
The new model features were found not to alter greatly the system's dynamics for a wide range of experimental conditions.
The computational modeling features are also established.
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