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Data Mining: A Reconsideration

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Thomas Mayer

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Abstract

Before condemning data mining one should distinguish between objective and biased data mining. The former is commendable. Even biased data mining is appropriate when used to illustrate and not to test hypotheses. In the context of testing, the problem with biased data mining arises not from the fitting of many regression, but from inadequate reporting of results. The trend towards reporting the results of more alternative specifications, and thus addressing the fragility problem, should be encouraged. To do that the incentives that economists face should be changed.

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Paper provided by California Davis - Department of Economics in its series Department of Economics with number 97-15.

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Handle: RePEc:fth:caldec:97-15

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Lovell, Michael C, 1986. "Tests of the Rational Expectations Hypothesis," American Economic Review, American Economic Association, vol. 76(1), pages 110-24, March. [Downloadable!] (restricted)
  2. Cooley, Thomas F & LeRoy, Stephen F, 1981. "Identification and Estimation of Money Demand," American Economic Review, American Economic Association, vol. 71(5), pages 825-44, December. [Downloadable!] (restricted)
  3. Lovell, Michael C, 1983. "Data Mining," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 1-12, February. [Downloadable!] (restricted)
  4. Staiger, Douglas & Stock, James H & Watson, Mark W, 1997. "The NAIRU, Unemployment and Monetary Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 33-49, Winter. [Downloadable!] (restricted)
  5. Gilbert, Christopher L, 1986. "Professor Hendry's Econometric Methodology," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 283-307, August.
  6. Friedman, Milton & Schwartz, Anna J, 1991. "Alternative Approaches to Analyzing Economic Data," American Economic Review, American Economic Association, vol. 81(1), pages 39-49, March. [Downloadable!] (restricted)
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  7. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1996-2), pages 1-78. [Downloadable!]
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  1. Kevin D. Hoover, Stephen J. Perez, 2000. "Three attitudes towards data mining," Journal of Economic Methodology, Taylor and Francis Journals, vol. 7(2), pages 195-210, June. [Downloadable!] (restricted)
  2. Gérard Charreaux, 2008. "La recherche en finance d’entreprise:quel positionnement méthodologique?," Working Papers FARGO 1080501, Université de Bourgogne - Latec/Fargo (Research center in Finance,organizational ARchitecture and GOvernance). [Downloadable!]
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  3. Roger E. Backhouse, Mary S. Morgan, 2000. "Introduction: is data mining a methodological problem?," Journal of Economic Methodology, Taylor and Francis Journals, vol. 7(2), pages 171-181, June. [Downloadable!] (restricted)
  4. Aris Spanos, 2000. "Revisiting data mining: ‘hunting’ with or without a license," Journal of Economic Methodology, Taylor and Francis Journals, vol. 7(2), pages 231-264, June. [Downloadable!] (restricted)
  5. David Colander, 2000. "New Millennium Economics: How Did It Get This Way, and What Way Is It?," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 121-132, Winter. [Downloadable!] (restricted)
  6. Clinton A. Greene, 2000. "I am not, nor have I ever been a member of a data-mining discipline," Journal of Economic Methodology, Taylor and Francis Journals, vol. 7(2), pages 217-230, June. [Downloadable!] (restricted)
  7. Alastair R. Hall, Fernanda P. M. Peixe, 2000. "Data mining and the selection of instruments," Journal of Economic Methodology, Taylor and Francis Journals, vol. 7(2), pages 265-277, June. [Downloadable!] (restricted)
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