Skip to main content

Models and Measurements

  • Chapter
  • First Online:
Philosophy of the Economy

Part of the book series: SpringerBriefs in Philosophy ((BRIEFSPHILOSOPH))

  • 776 Accesses

Abstract

Two key economic tools, models and measurements, are analyzed from a philosophical point of view, stressing their realism. Models should portray real causal relations, while it should be noted that measurements entail a simplification of reality, surveying quantitative dimensions and trying to quantify strictly qualitative dimensions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    They might be added to the ordinary language words expressing causal concepts listed by Elizabeth Anscombe (1971, p. 93).

  2. 2.

    On this topic, see Crespo (2008).

  3. 3.

    Cf. also Thomas Aquinas (1948), Summa Theologiae, Pars I, q. 110, a. 2 c.

  4. 4.

    See also Elizabeth Anderson (1993, 3.1).

  5. 5.

    In Crespo (2013, pp. 64–68), I explain how these scales relate to Aristotle’s thinking.

  6. 6.

    For example, if comfort was given more weight, car 3 would win the title.

  7. 7.

    Cf. Marcel Boumans (2001, p. 326) and Mary Morgan (2001, p. 240).

  8. 8.

    She explains (2001, p. 240), “Index number formulae conceived as measuring instruments are based on the strategy of aggregating in a way that allows each individual element to be assigned its due weight in the whole. Such a ‘weighted average’ strategy provides a solution to a general problem in economics, namely that many concepts refer to aggregates of things which may be considered homogeneous in the dimension of prices or money value, but are non homogeneous in another dimension, namely amounts consumed or produced”.

References

  • Alexandrova, Anna. 2008. Making models count. Philosophy of Science 75: 383–404.

    Article  Google Scholar 

  • Anderson, Elizabeth. 1993. Value in ethics and economics. Cambridge: Harvard University Press.

    Google Scholar 

  • Anscombe, G., and M. Elizabeth. 1971. Causality and determination. In Causation, reprinted in ed. E. Sosa, and M. Tooley, 88–104. Oxford: Oxford University Press.

    Google Scholar 

  • Aquinas, Thomas (S. Thomae Aquinatis). 1948. Summa theologiae. Taurini/Romae: Marietti.

    Google Scholar 

  • Aquinas, Thomas. 2010. Disputed questions on virtue, a. XI. 162–171. Original, Thomas Aquinas, De virtutibus in communi in Quaestiones Disputatae II. (trans: Jeffrey Hause, Claudia Eisen Murphy). Indianapolis: Hackett Publishing.

    Google Scholar 

  • Aristotle. (1941). The basic works of Aristotle, ed. and with an Introduction by Richard McKeon. (reprint of the translations prepared under the editorship of W. D. Ross, Oxford University Press). New York: Random House.

    Google Scholar 

  • Aristotle. (1984). The complete works of Aristotle, ed. Jonathan Barnes. Princeton: Princeton University Press.

    Google Scholar 

  • Artigas, Mariano. 1999. Filosofía de la ciencia. Pamplona: Eunsa.

    Google Scholar 

  • Banzhaf, H. Spencer, 2001. Quantifying the qualitative: Quality-adjusted price indexes in the United States, 1915-61. In The age of economic measurement, HOPE Annual Supplement, ed. Judy L. Klein and Mary S. Morgan, 345–370.

    Google Scholar 

  • Bogen, James, and James Woodward. 1998. Saving the phenomena. The Philosophical Review 97(3): 303–352.

    Google Scholar 

  • Bogen, James. 2009. ‘Saving the phenomena’ and saving the phenomena. http://philsci-archive.pitt.edu/archive/00004554/01/Sumitted_’Saving’-Saving.doc. Accessed 3 March 2012.

  • Boland, Larry. 1989. The methodology of economic model building: Method after Samuelson. London: Routledge.

    Google Scholar 

  • Boland, Larry. 2010. Cartwright on ‘economics’. Philosophy of the Social Sciences 40(3): 530–538.

    Article  Google Scholar 

  • Boumans, Marcel J. 2001. Fisher’s instrumental approach to index numbers. In The age of economic measurement, HOPE Annual Supplement, ed. Judy L. Klein and Mary S. Morgan, 313–344.

    Google Scholar 

  • Cartwright, Nancy. 1989. Nature’s capacities and their measurement. Oxford: Oxford University Press.

    Google Scholar 

  • Cartwright, Nancy. 1992. Aristotelian natures and the modern experimental method. In Inference, explanation, and other frustrations, ed. John Earman, 44–71. Berkeley: University of California Press.

    Google Scholar 

  • Cartwright, Nancy. 1999. The dappled world. A study of the boundaries of science. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Cartwright, Nancy. 2007. Hunting causes and using them. Approaches in philosophy and economics. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Cohen, M.R., and E. Nagle. 1934. An introduction to logic and scientific method. New York: Harcourt Brace.

    Google Scholar 

  • Crespo, Ricardo F. 2008. Keynes’s realisms. The European Journal of the History of Economic Thought 15(4): 673–693.

    Article  Google Scholar 

  • Crespo, Ricardo F. 2013. Theoretical and practical reason in economics. Capacities and capabilities, Springer Verlag.

    Google Scholar 

  • Desrosières, Alain. 2008. L’argument statistique, I. Pour une sociologie historique de la quantification. Paris: Presses de l’École des mines.

    Google Scholar 

  • Dow, Sheila. 2002. Economic methodology: An inquiry. Oxford: Oxford University Press.

    Google Scholar 

  • Frigg, Roman. 1996. Models in science. In Stanford encyclopedia of philosophy. http://plato.stanford.edu/entries/models-science/. Accessed 12 Dec 2012.

  • Guala, Francesco. 2005. The methodology of experimental economics. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Haavelmo, Trygve M. 1944. The probability approach in econometrics. Econometrica 12(Supplement): 1–118.

    Google Scholar 

  • Heckman, James. 2003. Conditioning, causality and policy analysis: Commentary. Journal of Econometrics 112(1): 73–78.

    Article  Google Scholar 

  • Hesse, Mary. 1966. Models and analogies in science. Notre Dame: Notre Dame University Press.

    Google Scholar 

  • Hoover, Kevin. 2001. The methodology of empirical macroeconomics. Cambridge: Cambridge University Press.

    Google Scholar 

  • Hughes, R.I.G. 1997. Models and representation. Philosophy of Science 64: S325–S336.

    Article  Google Scholar 

  • Keynes, John Maynard. 1921. A treatise on probability. London: MacMillan.

    Google Scholar 

  • Keynes, John Maynard. 1973. The general theory and after: Part II. Defence and development, the collected writings of John Maynard Keynes, vol. XIV. London: MacMillan.

    Google Scholar 

  • Keynes, John Neville. 1963. The scope and method of political economy (1890), 4th ed. New York: A. M. Kelley & Millman Inc.

    Google Scholar 

  • Kincaid, Harold. 2008. Social sciences. In The Routledge companion to philosophy of science, ed. Stathis Pasillos, and Martin Curd, 594–604. London: Routledge.

    Google Scholar 

  • Kindleberger, Charles. 1965. Economic development, 2nd ed. New York: McGraw-Hill Book Company.

    Google Scholar 

  • Kuipers, A. 1961. Model and insight. In The concept and the role of the model in mathematics and natural and social sciences, ed. Hans Freudenthal, 125–132. Dordrecht: D. Reidel Pub.

    Chapter  Google Scholar 

  • Mäki, Uskali. 2005. Models are experiments, experiments are models. Journal of Economic Methodology 12(2): 303–315.

    Article  Google Scholar 

  • Mäki, Uskali. 2011. Models and the locus of their truth. Synthese 180: 47–63.

    Article  Google Scholar 

  • Mathieu, Vittorio. 1990. Filosofía del Dinero, Rialp, Madrid (Filosofia del denaro, Armando Editore).

    Google Scholar 

  • McMullin, Ernan. 1968. What do physical models tell us? In Logic, methodology and philosophy of science III, ed. B. van Rootselaar, and J.F. Staal, 385–396. Amsterdam: North Holland.

    Chapter  Google Scholar 

  • Meier-Oeser, S. 2003. Medieval semiotics. In Stanford encyclopedia of philosophy, http://plato.stanford.edu/entries/semiotics-medieval/. Accessed 10 March 2013.

  • Michell, Joel. 2005. The logic of measurement: A realistic overview. Measurement 38: 285–294.

    Google Scholar 

  • Morgan, Mary. 1999. Models, stories, and the economic world. In Fact and fiction in economics ed. Uskali Mäki 178–201. Cambridge: Cambridge University Press.

    Google Scholar 

  • Morgan, Mary. 2001. Making measuring instruments. In The age of economic measurement, HOPE Annual Supplement, ed. Judy L. Klein and Mary S. Morgan, 235–251.

    Google Scholar 

  • Morgenstern, Oskar. 1964. Selected writings of Oskar Morgenstern, ed. Andrew Schotter. New York: New York University Press.

    Google Scholar 

  • Morrison, Margaret and Morgan, Mary, 1999. Introduction. In Models as mediators, ed. Morgan and Morrison, 1–9. Cambridge: Cambridge University Press.

    Google Scholar 

  • Nussbaum, Martha C. 2001. The Protagoras: A science of practical reasoning. In Varieties of practical reasoning, ed. Elijah Millgram. Cambridge: The MIT Press.

    Google Scholar 

  • Plato. 1997. Complete works, ed. John M. Cooper and D. S. Hutchison, Indianapolis: Hacket.

    Google Scholar 

  • Poinsot, John. [1631-35] 1985. Tractatus de Signis. The Semiotic of John Poinsot, ed. John N. Deely, Berkeley: University of California Press.

    Google Scholar 

  • Porter, Theodore. 1995. Trust in numbers. Princeton: Princeton University Press.

    Google Scholar 

  • Robinson, Joan. 1971. Economic heresies. London: MacMillan.

    Google Scholar 

  • Salmon, Pierre. 2000. Modèles et mécanismes en économie: essai de clarification de leurs rélations. Revue de Philosophie Economique 1(1): 1–25.

    Google Scholar 

  • Salmon, Pierre 2005. Qu’est-ce qui représente quoi? Réflexions sur la nature et le rôle des modèles en économie, Université de Bourgogne, Document de travail 07/2005. http://www.u-bourgogne.fr/leg/documents-de-travail/e2005-07.pdf. Accessed 5 April 2013.

  • Searle, John R. 2001. Rationality in action. Cambridge: The MIT Press.

    Google Scholar 

  • Sen, Amartya. 1999. Development as freedom. Oxford: Oxford University Press.

    Google Scholar 

  • Sen, Amartya. 2002. Rationality and freedom. Cambridge: The Belknap Press of Harvard University Press.

    Google Scholar 

  • Streeten, Paul. 1994. Human development: means and ends. The American Economic Review 84(2): 232–237.

    Google Scholar 

  • Teller, Paul. 2009. Fictions, fictionalization, and truth in science. In Fictions in science, ed. Mauricio Suárez, 235–247. London: Routledge.

    Google Scholar 

  • Veatch, Henry B. 1952. Intentional logic. London: Yale University Press, New Haven and Oxford University Press.

    Google Scholar 

  • Woodward, James. 1989. Data and phenomena. Synthese 79(3): 393–472.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ricardo F. Crespo .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Author(s)

About this chapter

Cite this chapter

Crespo, R.F. (2013). Models and Measurements. In: Philosophy of the Economy. SpringerBriefs in Philosophy. Springer, Cham. https://doi.org/10.1007/978-3-319-02648-0_6

Download citation

Publish with us

Policies and ethics