This article analyzes the epistemic contributions of models by distinguishing three roles that they might play: an evidential role, a revealing role and a stimulating role. By using an account of learning based on the philosophical understanding of propositional knowledge as true justified belief, the paper provides the conditions to be fulfilled by a model in order to play a determined role. A case study of an economic model of the labor market—the DMP model— illustrates the usefulness of these conditions in articulating debates over the epistemic contributions of a given model.

Additional Metadata
Persistent URL dx.doi.org/10.1162/POSC_a_00181, hdl.handle.net/1765/81562
Journal Perspectives on Science
Citation
Claveau, F, & Vergara Fernández, S.M. (2015). Epistemic contributions of models: Conditions for propositional learning. Perspectives on Science, 23(4), 405–423. doi:10.1162/POSC_a_00181