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The Positive Economics of Methodology

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  • Kahn, James A.
  • Landsburg, Steven E.
  • Stockman, Alan C.

Abstract

Does an observation constitute stronger evidence for a theory if it was made after rather than before the theory was formulated, when it may have influenced the theory's construction? Philosophers have discussed this question (of "novel confirmation") but have lacked a formal model of scientific research and incentives. The question applies to all types of research. One example in economics involves evaluating models constructed on the basis of VARs (where a researcher looks at evidence and then constructs a theory) versus structural models with formal econometric tests (where a model is constructed before some of the evidence on it is obtained). This paper develops a simple model of scientific research. It discusses the issues that affect the answer to this question of the timing and theory-construction and observation or experimentation. We also address issues of social versus private incentives in the choice of research strategies, and of socially optimal rewards for researchers in the presence of information and incentive constraints.
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Suggested Citation

  • Kahn, James A. & Landsburg, Steven E. & Stockman, Alan C., 1996. "The Positive Economics of Methodology," Journal of Economic Theory, Elsevier, vol. 68(1), pages 64-76, January.
    • Handle: RePEc:eee:jetheo:v:68:y:1996:i:1:p:64-76
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    Cited by:

    1. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
    2. 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.
    3. Kataria, Mitesh, 2016. "Confirmation: What's in the evidence?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 9-15.
    4. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 1998. "The dangers of data-driven inference: the case of calender effects in stock returns," LSE Research Online Documents on Economics 119142, London School of Economics and Political Science, LSE Library.

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