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Observations in a Hostile Environment: Morgenstern on the Accuracy of Economic Observations

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  • Marcel Boumans

Abstract

This article provides a history of the treatment of observational errors where conditions cannot be controlled to reduce inaccuracies, more specific, a history of the discussion of errors in social statistics. The main focus is on Oskar Morgenstern’s atypical position in this discussion. In contrast to his contemporary social statisticians, Morgenstern took the natural science approach as the ideal standard for dealing with errors. His position, however, is not atypical when compared with natural science perspectives at that time. His view was attuned with the view of logical empiricism of the 1950s on the difference between natural science and social science: because social science is inexact we need experts to ensure that observations are “scientific.” Moreover, in a “hostile” and “secret” world we need experts to assess the accuracy of the observations.

Suggested Citation

  • Marcel Boumans, 2012. "Observations in a Hostile Environment: Morgenstern on the Accuracy of Economic Observations," History of Political Economy, Duke University Press, vol. 44(5), pages 114-136, Supplemen.
  • Handle: RePEc:hop:hopeec:v:44:y:2012:i:5:p:114-136
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    Cited by:

    1. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    2. 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.
    3. Till Düppe & E. Roy Weintraub, 2013. "Siting the New Economic Science: The Cowles Commission’s Activity Analysis Conference of June 1949," Working Papers 0040, European Historical Economics Society (EHES).
    4. Buongiorno, Joseph & Johnston, Craig, 2018. "Effects of parameter and data uncertainty on long-term projections in a model of the global forest sector," Forest Policy and Economics, Elsevier, vol. 93(C), pages 10-17.
    5. 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.
    6. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.

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