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Sound and fury: McCloskey and significance testing in economics

Author

Listed:
  • Kevin Hoover
  • Mark Siegler

Abstract

For more than 20 years, Deidre McCloskey has campaigned to convince the economics profession that it is hopelessly confused about statistical significance. She argues that many practices associated with significance testing are bad science and that most economists routinely employ these bad practices: 'Though to a child they look like science, with all that really hard math, no science is being done in these and 96 percent of the best empirical economics …' (McCloskey 1999). McCloskey's charges are analyzed and rejected. That statistical significance is not economic significance is a jejune and uncontroversial claim, and there is no convincing evidence that economists systematically mistake the two. Other elements of McCloskey's analysis of statistical significance are shown to be ill-founded, and her criticisms of practices of economists are found to be based in inaccurate readings and tendentious interpretations of those economists' work. Properly used, significance tests are a valuable tool for assessing signal strength, for assisting in model specification, and for determining causal structure.

Suggested Citation

  • Kevin Hoover & Mark Siegler, 2008. "Sound and fury: McCloskey and significance testing in economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 15(1), pages 1-37.
  • Handle: RePEc:taf:jecmet:v:15:y:2008:i:1:p:1-37
    DOI: 10.1080/13501780801913298
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Deidre McCloskey; Stephen Ziliak; statistical significance; economic significance; significance tests; R.A. Fisher; Neyman-Pearson testing; specification search; C10; C12; B41;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology

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