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. | |||||||||
| Keywords | No keywords specified (fix it) | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,701 |
| External links |
|
| Through your library | Only published papers are available at libraries |
Frank Lad (1984). The Calibration Question. British Journal for the Philosophy of Science 35 (3):213-221.
Teddy Seidenfeld (1985). Calibration, Coherence, and Scoring Rules. Philosophy of Science 52 (2):274-294.
Uskali Mäki (2005). Models Are Experiments, Experiments Are Models. Journal of Economic Methodology 12 (2):303-315.
Ioannis Votsis (2003). Book Review of Ilkka Niiniluoto, Critical Scientific Realism, Oxford: Oxford University Press. [REVIEW] Philosophy of Science 70 (2):444-447.
Robert A. Skipper (2004). Calibration of Laboratory Models in Population Genetics. Perspectives on Science 12 (4):369-393.
Monthly downloads |
Added to index2009-07-19Total downloads16 ( #74,686 of 549,090 )Recent downloads (6 months)1 ( #63,317 of 549,090 )How can I increase my downloads? |

