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Science Outside the Laboratory: Measurement in Field Science and Economics

Author

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  • Boumans, Marcel

    (Faculty of Philosophy, Erasmus University Rotterdam)

Abstract

The conduct of most of social science occurs outside the laboratory. Such studies in field science explore phenomena that cannot for practical, technical, or ethical reasons be explored under controlled conditions. These phenomena cannot be fully isolated from their environment or investigated by manipulation or intervention. Yet measurement, including rigorous or clinical measurement, does provide analysts with a sound basis for discerning what occurs under field conditions, and why. Science Outside the Laboratory explores the state of measurement theory, its reliability, and the role expert judgment plays in field investigations from the perspective of the philosophy of science. Its discussion of the problems of passive observation, the calculus of observation, the two-model problem, and model-based consensus uses illustrations drawn primarily from economics. The treatment clarifies the extent to which measurement provides valid information about objects and events in field sciences, but also has implications for measurement in the laboratory. Available in OSO:

Suggested Citation

  • Boumans, Marcel, 2015. "Science Outside the Laboratory: Measurement in Field Science and Economics," OUP Catalogue, Oxford University Press, number 9780199388288.
  • Handle: RePEc:oxp:obooks:9780199388288
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    Cited by:

    1. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    2. Desiere, Sam, 2016. "The inverse productivity size relationship: can it be explained by systematic measurement error in self-reported production?," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246971, African Association of Agricultural Economists (AAAE).
    3. M.J. Boumans, 2019. "Visualising Ignorance," Working Papers 19-12, Utrecht School of Economics.
    4. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.

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