Calibration of models in experiments

Abstract

The assessment of models in an experiment depends on their material nature and their function in the experiment. Models that are used to make the phenomenon under investigation visible - sensors - are assessed by calibration. However, calibration strategies assume material intervention. The experiment discssed in this paper is an experiment in economics to measure the influence of technology shocks on business cycles. It uses immaterial, mathematical instruments. It appears that calibration did not work for these kinds of models, it did not provide reliable evidence for the facts of the business cycle.

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2009-07-19

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Marcel Boumans
Utrecht University

Citations of this work

When Experiments Need Models.Donal Khosrowi - 2021 - Philosophy of the Social Sciences 51 (4):400-424.
Graph-based inductive reasoning.Marcel Boumans - 2016 - Studies in History and Philosophy of Science Part A 59 (C):1-10.

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