The Role of Models in Measurement Outside the Laboratory
Marcel J. Boumans
University of Amsterdam; Tinbergen Institute; Erasmus University Rotterdam (EUR) - Erasmus Institute for Philosophy and Economics (EIPE)
April 17, 2012
For measurement outside the laboratory, uncertainty evaluations have to be model-based. Therefore models should not only represent the measure and but also its environment. For measurement in social science these models will be too complex, therefore instead of white-box models, grey-box (modular-designed) models are preferred. They are much simpler. Uncertainty evaluations of measurements outside the laboratory are more of the kind of Type B evaluations. In social science, due to the lack of authoritative scientific institutions, Type B evaluations will be of a different character. In case of measurements based on grey-box models they are the so-called structure-oriented behaviour tests.
Number of Pages in PDF File: 9
Keywords: complex system, model, social science, uncertainty evaluation
JEL Classification: B40, C52working papers series
Date posted: April 18, 2012
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