Built-in justification

In several accounts of what models are and how they function a specific view dominates. This view contains the following characteristics. First, there is a clear-cut distinction between theories, models and data and secondly, empirical assessment takes place after the model is built. This view in which discovery and justification are disconnected is not in accordance with several practices of mathematical business-cycle model building. What these practices show is that models have to meet implicit criteria of adequacy, such as satisfying theoretical, mathematical and statistical requirements, and be useful for policy. In order to be adequate, models have to integrate enough items to satisfy such criteria. These items include besides theoretical notions, policy views, mathematisations of the cycle and metaphors also empirical data and facts. So, the main thesis of this chapter is that the context of discovery is the successful integration of those items that satisfy the criteria of adequacy. Because certain items are empirical data and facts, justification can be built-in.
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Modelling and Representing: An Artefactual Approach to Model-Based Representation.Tarja Knuuttila - 2011 - Studies in History and Philosophy of Science Part A 42 (2):262-271.
Models, Stories and the Economic World.Mary S. Morgan - 2001 - Journal of Economic Methodology 8 (3):361-384.
Mathematical Formalisms in Scientific Practice: From Denotation to Model-Based Representation.Axel Gelfert - 2011 - Studies in History and Philosophy of Science Part A 42 (2):272-286.
Making Sense of Modeling: Beyond Representation. [REVIEW]Isabelle Peschard - 2011 - European Journal for Philosophy of Science 1 (3):335-352.

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