The article examines several stochastic layers of epistemic reasoning at work in econometrics and in the current economic methods: (1) the argumentative level; (2) the reasoning based on the analogy with gambling; (3) the models based on analytical calculation of probabilities, where the phenomenon is held centered, its uncertainty being controlled by white noise as to its fluctuation; (4) the axiomatic calculus. Entanglement of these strata is observed. The article calls for reflexion on the topic. Doing so, it introduces the concept of stochastic cognitive artifacts.
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http://dx.doi.org/10.1007/s11873-015-0278-y | DOI Listing |
Rev Synth
January 2016
ENS, Paris, France,
The article examines several stochastic layers of epistemic reasoning at work in econometrics and in the current economic methods: (1) the argumentative level; (2) the reasoning based on the analogy with gambling; (3) the models based on analytical calculation of probabilities, where the phenomenon is held centered, its uncertainty being controlled by white noise as to its fluctuation; (4) the axiomatic calculus. Entanglement of these strata is observed. The article calls for reflexion on the topic.
View Article and Find Full Text PDFBiometrics
March 2003
Department of Biostatistics, Box 357232, University of Washington, Seattle, Washington 98195-7232, USA.
Econometricians Daniel McFadden and James Heckman won the 2000 Nobel Prize in economics for their work on discrete choice models and selection bias. Statisticians and epidemiologists have made similar contributions to medicine with their work on case-control studies, analysis of incomplete data, and causal inference. In spite of repeated nominations of such eminent figures as Bradford Hill and Richard Doll, however, the Nobel Prize in physiology and medicine has never been awarded for work in biostatistics or epidemiology.
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