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Observations on the practice of data-mining: comments on the JEM symposium

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  • Steven Cook

Abstract

A positive view of data-mining has been recently presented in a Journal of Economic Methodology ( JEM ) symposium. This is in stark contrast to the stance normally taken. In this note consideration of the Bayesian philosophy of science literature and the impact of data revision extends the analysis of data-mining. Introduction of these issues is seen to provide support for the arguments presented in the JEM symposium.

Suggested Citation

  • Steven Cook, 2001. "Observations on the practice of data-mining: comments on the JEM symposium," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(3), pages 415-419.
    • Handle: RePEc:taf:jecmet:v:8:y:2001:i:3:p:415-419
    DOI: 10.1080/13501780110078990
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    References listed on IDEAS

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    1. Kevin Hoover & Stephen Perez, 2001. "Three attitudes towards data mining," Journal of Economic Methodology, Taylor & Francis Journals, vol. 7(2), pages 195-210.
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    7. Gregory D. Hess & Christopher S. Jones & Richard D. Porter, 1994. "The predictive failure of the Baba, Hendry and Starr model of the demand for M1 in the United States," Finance and Economics Discussion Series 94-34, Board of Governors of the Federal Reserve System (U.S.).
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