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  1. 20 maj 2020 · I will offer a set of concepts and principles to improve transparency about the precise contents of idealizations (in terms of negligibility, applicability, tractability, and early-step status) and their distinct functions (such as contributing to minimal modeling, benchmark modeling, and how-possibly modeling). 1.

  2. 22 sty 2019 · We introduce work on epistemic value to the debate surrounding idealizations and understanding, arguing that idealizations qua falsehoods confer only non-epistemic value to understanding. We argue for this claim by criticizing the leading accounts of how idealizations provide understanding.

  3. 1 gru 2021 · De-idealization occurs when an idealized assumption of a theoretical model is replaced with a more realistic one. Recently, some scholars have raised objections against the possibility or fruitfulness of de-idealizing economic models, suggesting that economists do not employ this kind of strategy.

  4. 28 lis 2012 · Abstract. This paper aims (a) to provide characterizations of realism and instrumentalism that are philosophically interesting and applicable to economics; and (b) to defend instrumentalism against realism as a methodological stance in economics.

  5. In what follows, we analyze the processes of deidealization by drawing on examples from economics and the existing literature in the philosophy of economics on model application problems (e.g., Boumans 2005; Alexandrova 2006; Reiss 2008; Svetlova 2013).

  6. Deidealization is crucial for different kinds of attempts to apply models to the world by empirical use with statistics, in designing experiments, or in mak- — ing arguments about concrete events. Such attempts unquestionably involve deidealization.

  7. 1 Introduction. This article discusses the traditional problem in the philosophy of science regarding how to bridge the gap between idealized models and a complex reality. Here, however, the focus is on the applied field of financial markets. The article thus draws attention to the use of models outside of the scientific field.

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