Introduction: is data mining a methodological problem?

Journal of Economic Methodology

Volumn 7, Issue 2, 2000, Pages 171-181

  Backhouse, Roger E ^a   Morgan, Mary S ^b  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b LONDON SCHOOL OF ECONOMICS   (United Kingdom)

Author keywords

Data Mining; Econometric Methodology; Econometrics; Economic Methodology; Experimental Method; Experiments; Philosophy Of Science

Indexed keywords

EID: 85066197532     PISSN: 1350178X     EISSN: 14699427     Source Type: Journal    
DOI: 10.1080/13501780050045065     Document Type: Editorial

References (23)

1. Backhouse, Roger E. (1997) Truth and Progress in Economic Knowledge, Cheltenham: Edward Elgar.
2. Blaug, Mark (1992) The Methodology of Economics: How Economists Explain, Cambridge: Cambridge University Press.
3. Bogen, James and Woodward, James (1988) 'Saving the phenomena', Philosophical Review 97: 303-52.
4. Boumans, Marcel (1999) 'Representation and stability in testing and measuring rational expectations', Journal of Economic Methodology 6: 381-402.
5. Carnap, Rudolf (1995) [1966] An Introduction to the Philosophy of Science, ed. Martin Gardner, New York: Dover Publications. [Original title: Philosophical Foundations of Physics: an Introduction to the Philosophy of Science.]
6. Collins, Harry (1985) Changing Order: Replication and Induction in Scientific Practice, London: Sage.
7. Collins, Harry (1990) Artificial Experts: Social Knowledge and Intelligent Machines, Cambridge, MA: MIT Press.
8. Fisher, Franklin M. (1965) 'The choice of instrumental variables in the estimation of economy-wide econometric models', International Economic Review 6: 245-74.
9. Grattan-Guinness, Ivor (1994) (ed.) Companion Encyclopaedia of the History and Philosophy of the Mathematical Sciences, 2 Vois, London: Routledge.
10. Greene, Clinton A. (2000) 'I am not, nor have I ever been a member of a data-mining discipline', Journal of Economic Methodology 7: 217-30.
11. Hacking, Ian (1983) Representing and Intervening, Cambridge: Cambridge University Press.
12. Hall, Alistair and Peixe, Fernanda (2000) 'Data mining and the selection of instruments', Journal of Economic Methodology 7: 265-78.
13. Hausman, Daniel M. (1992) The Inexact and Separate Science of Economics, Cambridge: Cambridge University Press.
14. Hoover, Kevin D., and Ferez, Stephen (2000) 'Three attitudes towards data mining', Journal of Economic Methodology 7: 195-210.
15. Lovell, Michael C. (1983) 'Data mining', Review of Economics and Statistics 65: 1-12.
16. Mayer, Thomas (2000) 'Data mining: a reconsideration', Journal of Economic Methodology T. 183-94.
17. Mayo, D. G. (1996) Error and the Growth of Experimental Knowledge, Chicago, IL: University of Chicago Press
18. Morgan, Mary S. (1990) A History of Econometric Ideas, Cambridge: Cambridge University Press.
19. Morgan, Mary S. (1997) 'Searching for causal relations in economic statistics: reflections from history', in V. McKim and S. Turner (ed.) Causality in Crisis? Statistical Methods and the Search for Casual Knowledge in the Social Sciences, Notre Dame, IN: University of Notre Dame Press, pp. 47-80.
20. O'Brien, D.P. (1992) 'Economists and data', British Journal of Industrial Relations 30: 253-85 (Reprinted in D.P.O'Brien, Methodology, Money and the Firm: The Collected Essays of D.P. O'Brien, 1: 88-120e).
21. Pagan, Adrian and Veall, Michael (2000) 'Data mining and the econometrics industry: comments on the papers of Mayer and Hoover and Ferez', Journal of Economic Methodology 7:211-16.
22. Spanos, Aris (2000) 'Revisiting data mining: "hunting" with or without a license', Journal of Economic Methodology 7: 231-64.
23. Suppe, Frederick (1977) 'The search for philosophic understanding of scientific theories', in F. Suppe (ed.) The Structure of Scientific Theories, 2nd edn, Urbana, IL: University of Illinois Press.