Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-24T16:57:33.527Z Has data issue: false hasContentIssue false

Civilization and Its Discounts

Published online by Cambridge University Press:  13 April 2010

Philip Mirowski
Affiliation:
University of Notre Dame

Extract

Recent breakthroughs in the history and sociology of science have begun to help us to appreciate the vast complexity and intricate character of empirical endeavours in the sciences. The days when philosophers could blandly gesture towards “observation statements” or “falsification,” as if they were some readily understood phenomena or set of procedures, are gone, happily. This does not mean we can merely use the Duhem-Quine thesis as a shibboleth, however: we are now much more sensitive to immense difficulties in establishing viable claims to replication (Chen 1994) or establishing the absence of selectivity bias, or convincing others of adequacy of experimental controls. Yet, even so, I would still assert that modern science studies, with only a very few exceptions, have ignored the problem of the constitution of error in the context of precision quantitative measurement. While rather broad claims have been made concerning measurement by Hacking, Cartwright, Franklin and others, none goes so far as to examine the actual manipulation of the numerical data. More distressingly, in the areas of economics and economic methodology, we have not even got so far as have the researchers in science studies. This fact alone should provide grounds for scepticism about the claim in Cartwright (1989) that philosophy of scientific inference has something to learn from the history of econometrics.

Type
Articles
Copyright
Copyright © Canadian Philosophical Association 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aharoni, Amikam 1995Agreement between Theory and Experiment.” Physics Today (June): 3337.CrossRefGoogle Scholar
Birge, Raymond 1957A Survey of the Systematic Evaluation of the Universal Physical Constants.” Nuovo Cimento, 6 (Supplement): 3967.CrossRefGoogle Scholar
Cartwright, Nancy 1989 Nature's Capacities and Their Measurement. Oxford: Oxford University Press.Google Scholar
Chen, Xiang 1994The Rule of Reproducability and Its Applications in Experimental Appraisal.” Synthese, 99: 87109.CrossRefGoogle Scholar
Christ, Carl 1994The Cowles Commission's Contributions to Econometrics at Chicago, 1939–55.” Journal of Economic Literature, 32: 3059.Google Scholar
Collins, Harry 1985 Changing Order. London: Sage.Google Scholar
Danziger, Kurt 1990 Constructing the Subject. New York: Cambridge University PressCrossRefGoogle Scholar
de Long, J. B., and Kevin, Lang 1992Are All Economic Hypotheses False?Journal of Political Economy, 100: 1257–72.CrossRefGoogle Scholar
Dewald, W.Thursby, J. and Anderson, R 1986Replication in Empirical Economics.” American Economic Review, 76: 587603.Google Scholar
Earman, John 1992 Bayes or Bust. Cambridge, MA: MIT Press.Google Scholar
Ellerman, David 1995 Essays in Intellectual Trespassing. Totowa: Rowman & Littlefield.Google Scholar
Franklin, Allen 1990 Experiment Right or Wrong. New York: Cambridge University Press.CrossRefGoogle Scholar
Gigerenzer, Gerd, and Murray, David 1987 Cognition as Intuitive Statistics. Hillsdale: Lawrence Erlbaum.Google Scholar
Gigerenzer, Gerd, Swijtink, Zeno, Porter, Theodore, Daston, Lorraine, Beatty, John and Kruger, Lorenz 1989 The Empire of Chance. New York: Cambridge University Press.CrossRefGoogle Scholar
Glass, G.McGaw, B. and Smith, M. 1981 Meta-Analysis in Social Research. Beverly Hills, CA: Sage.Google Scholar
Gooday, Grahame 1990Precision Measurement and the Genesis of Physics Teaching Laboratories.” British Journal for the History of Science, 23: 2551.CrossRefGoogle Scholar
Gooding, David, Pinch, Trevor and Schaffer, Simon, eds. 1989 The Uses of Experiment. Cambridge: Cambridge University Press.Google Scholar
Hacking, Ian 1983 Representing and Intervening. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Harding, Sandra, ed. 1976 Can Theories Be Refuted? Boston: Reidel.CrossRefGoogle Scholar
Hedges, Larry 1987How Hard is Hard Science, How Soft is Soft Science?American Psychologist, 42: 443–55.CrossRefGoogle Scholar
Hedges, Larry, and Olkin, Ingram 1985 Statistical Methods for Meta-analysis. New York: Academic Press.Google Scholar
Heilbron, J. L. 1993 Weighing Imponderables and Other Quantitative Science around 1800. Supplement to Historical Studies on the Physical and Biological Sciences, Vol. 24. Berkeley, CA: University of California.Google Scholar
Helmholtz, Carl 1990 “Raymond Thayer Birge.” In Biographical Memoirs of the National Academy of Sciences. Vol. 59, pp. 7384. Washington, DC: National Academy of Sciences.Google Scholar
Henrion, Max, and Fischoff, Baruch 1986Assessing Uncertainty in the Physical Constants,” American Journal of Physics, 54: 791–97.CrossRefGoogle Scholar
Hon, Giora 1989Toward a Typology of Experimental Errors.” Studies in the History and Philosophy of Science, 20: 469504.CrossRefGoogle Scholar
Judd, Kenneth, and Scadding, John 1982The Search for a Stable Money Demand Function.” Journal of Economic Literature, 20: 9931023.Google Scholar
Kennedy, Peter 1994How Much Bias from Using Pretest as a Regressor?” Unpublished manuscript, Department of Economics, Simon Fraser University.Google Scholar
Latour, Bruno 1987 Science in Action. Cambridge, MA: Harvard University Press.Google Scholar
MacKenzie, Donald 1991 Inventing Accuracy. Cambridge, MA: MIT Press.Google Scholar
Mayo, Deborah 1992Did Pearson Reject the Neyman-Pearson Philosophy of Statistics?Synthese, 90: 233–62.CrossRefGoogle Scholar
Mendoza, Eric 1992Physics, Chemistry and the Theory of Errors.” Archives Internationales d'histoire des sciences, 41: 282306.Google Scholar
Mirowski, Philip 1989 More Heat than Light. New York: Cambridge University Press.CrossRefGoogle Scholar
Mirowski, Philip 1994a “Arbitrage, Symmetries and the Social Theory of Value.” In New Directions in Analytical Political Economy. Edited by Dutt, Amitava. Aldershot: Edward Elgar.Google Scholar
Mirowski, Philip 1994b “A Visible Hand in the Marketplace of Ideas.”Science in Context, 7: 563–89.CrossRefGoogle Scholar
Mirowski, Philip 1994c “Appendix of Sources for 'A Visible Hand in the Marketplace of Ideas.'” Unpublished manuscript, University of Notre Dame Economics Department.Google Scholar
Mirowski, Philip 1995Three Ways to Think about Testing in Econometrics.” Journal of Econometrics, 67: 2546.CrossRefGoogle Scholar
Morgan, Mary 1990 A History of Econometrics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Neyman, Jerzy, and Pearson, Egon 1933On the problem of Most Efficient Tests of Statistical Hypotheses.” Philosophical Transactions of the Royal Society, 231 A: 289337.Google Scholar
O'Connell, Joseph 1993Metrology.” Social Studies of Science, 23: 129–74.CrossRefGoogle Scholar
Olesko, Kathryn 1988 “Michelson and the Reform of Physics Instruction.” In The Michelson Era in American Physics. Edited by Goldberg, S. and Steuewer, R.. New York: American Institute of Physics.Google Scholar
Olesko, Kathryn 1991 Physics as a Calling. Ithaca, NY: Cornell University Press.Google Scholar
Peterson, I. 1995Gravity's Force: Chasing an Elusive Constant.” Science News, 147, 17 (April 29): 263.CrossRefGoogle Scholar
Petley, Brian 1985 The Fundamental Physical Constants and the Frontiers of Measurement. Bristol: Adam Hilger.Google Scholar
Porter, Theodore 1995 Trust in Numbers. Princeton: Princeton University Press.Google Scholar
Ramsey, Frank 1931 The Foundations of Mathematics and Other Logical Essays. London: Routledge & Kegan Paul.Google Scholar
Rosenfeld, Arthur 1975The Particle Data Group.” Annual Review of Nuclear Science, 25: 555–98.CrossRefGoogle Scholar
Sent, Esther-Mirjam 1994 “Resisting Sargent.” Ph.D. dissertation, Stanford University.Google Scholar
Shapin, Steven 1994 A Social History of Truth. Chicago, IL: University of Chicago Press.CrossRefGoogle Scholar
Sheynin, Oscar 1993The Treatment of Observations in Early Astronomy.” Archive for the History of the Exact Sciences, 46: 153189.CrossRefGoogle Scholar
Stanley, T., and Jarrell, S. 1989Meta-regression analysis: A Quantitative Method of Literature Surveys.” Journal of Economic Surveys, 3: 161–70.CrossRefGoogle Scholar
Stigler, Stephen 1986 A History of Statistics. Cambridge, MA: Harvard University Press.Google Scholar
Tiling, Laura 1973 “The Interpretation of Observational Errors in the 18th and Early 19th Centuries.” Ph.D. dissertation, University of London.Google Scholar
Wachter, Kenneth and Straf, Myron, eds. 1990 The Future of Meta-Analysis. New York: Russell Sage.Google Scholar
Wise, M. Norton, ed. 1995 The Values of Precision. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar