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References (16)
-
Michael Naas (2014)
The End of the World and Other Teachable Moments -
E. Keller (1999)
Making sense of life : explaining biological development with models, metaphors, and machines -
Elizabeth Pierre (2013)
The Appearance of DataCultural Studies <=> Critical Methodologies, 13
-
A. Desrosières (2009)
How to be Real and Conventional: A Discussion of the Quality Criteria of Official StatisticsMinerva, 47
-
K. Arrow (1962)
Economic Welfare and the Allocation of Resources for Invention -
D. Pestre (2012)
Debates in transnational and science studies: a defence and illustration of the virtues of intellectual toleranceThe British Journal for the History of Science, 45
-
K. Arrow, G. Debreu (1954)
EXISTENCE OF AN EQUILIBRIUM FOR A COMPETITIVE ECONOMYEconometrica, 22
-
M. Morgan (2012)
The World in the Model: How Economists Work and Think -
(2012)
The World in the Model: Frontmatter -
J. Derrida, Eric Prenowitz (1995)
Archive Fever: A Freudian Impression -
B. Godin (2004)
Measurement and statistics on science and technology : 1920 to the present -
Martha Lampland, S. Star (2009)
Standards and their stories : how quantifying, classifying, and formalizing practices shape everyday life -
G. Berdine (2017)
Uncertainty and the welfare economics of medical care: an Austrian rebuttal Part 2The Southwest Respiratory and Critical Care Chronicles, 5
-
H. Maas, M. Morgan (2012)
Observation and Observing in EconomicsHistory of Political Economy, 44
-
N. Cartwright (1999)
The dappled world : a study of the boundaries of science -
M. Morgan (2012)
The World in the Model: Figures, Tables, and Boxes
- Publisher
- Springer International Publishing
- Copyright
- © Springer International Publishing AG, part of Springer Nature 2018
- ISBN
- 978-3-319-93839-4
- Pages
- 75 –92
- DOI
- 10.1007/978-3-319-93840-0_4
- Publisher site
- See Chapter on Publisher Site
Abstract
[In this chapter I apply rhetoric as a mode of inquiry to the field of economics and science and look at the rhetoric of models, data, and statistics. In this chapter I rely on the work of Harro Maas and Mary Morgan in regards to modeling, Daniel Rosenberg and Jacques Derrida regarding data as an archive, and Alain Desrosieres and Benoit Godin when I cover the rhetoric of statistics.]
Published: Aug 31, 2018
Keywords: Statistical rhetoric; Modeling rhetoric; Data; Archive