Sound and fury: McCloskey and significance testing in economics

  title={Sound and fury: McCloskey and significance testing in economics},
  author={K. Hoover and Mark V. Siegler},
  journal={Journal of Economic Methodology},
  pages={1 - 37}
  • K. Hoover, Mark V. Siegler
  • Published 2008
  • Economics
  • Journal of Economic Methodology
  • 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… CONTINUE READING
    12 Citations


    Size Matters: The Standard Error of Regressions in the American Economic Review
    • 331
    • Highly Influential
    • PDF
    Knowledge and Persuasion in Economics
    • 459
    The Positive Economics of Methodology
    • 14
    • PDF
    How to be Human*: *Though an Economist
    • 49
    Evaluating significance: comments on "size matters"
    • 22
    Probability, econometrics and truth
    • 24
    On theory testing in econometrics : Modeling with nonexperimental data
    • 134
    Monetarism and the Methodology of Economics: Essays in Honour of Thomas Mayer
    • 12
    Let's Take the Con Out of Econometrics
    • 2,055
    • PDF
    Three attitudes towards data mining
    • 55
    • PDF