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Deciding Not To Decide

Author

Listed:
  • Ellsaesser, Florian
  • Fioretti, Guido

Abstract

Sometimes unexpected, novel, unconceivable events enter our lives. The cause-effect mappings that usually guide our behaviour are destroyed. Surprised and shocked by possibilities that we had never imagined, we are unable to make any decision beyond mere routine. Among them there are decisions, such as making investments, that are essential for the long-term survival of businesses as well as the economy at large. We submit that the standard machinery of utility maximization does not apply, but we propose measures inspired by scenario planning and graph analysis, pointing to solutions being explored in machine learning.

Suggested Citation

  • Ellsaesser, Florian & Fioretti, Guido, 2022. "Deciding Not To Decide," MPRA Paper 111546, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:111546
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    File URL: https://mpra.ub.uni-muenchen.de/112115/2/MPRA_paper_112115.pdf
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    References listed on IDEAS

    as
    1. Stephen P. Dunn, 2001. "Bounded Rationality Is Not Fundamental Uncertainty: A Post Keynesian Perspective," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 23(4), pages 567-587, July.
    2. Paul Davidson, 1991. "Is Probability Theory Relevant for Uncertainty? A Post Keynesian Perspective," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 129-143, Winter.
    3. Ramírez, Rafael & Österman, Riku & Grönquist, Daniel, 2013. "Scenarios and early warnings as dynamic capabilities to frame managerial attention," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 825-838.
    4. Paul Davidson, 1991. "Is Probability Theory Relevant for Uncertainty? A Different Perspective," Palgrave Macmillan Books, in: Louise Davidson (ed.), Inflation, Open Economies and Resources, chapter 16, pages 171-192, Palgrave Macmillan.
    5. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    6. Paul Goodwin & George Wright, 2001. "Enhancing Strategy Evaluation in Scenario Planning: a Role for Decision Analysis," Journal of Management Studies, Wiley Blackwell, vol. 38(1), pages 1-16, January.
    7. Efe A. Ok & Pietro Ortoleva & Gil Riella, 2012. "Incomplete Preferences Under Uncertainty: Indecisiveness in Beliefs versus Tastes," Econometrica, Econometric Society, vol. 80(4), pages 1791-1808, July.
    8. Gilboa, Itzhak, 1987. "Expected utility with purely subjective non-additive probabilities," Journal of Mathematical Economics, Elsevier, vol. 16(1), pages 65-88, February.
    9. Schmeidler, David, 1989. "Subjective Probability and Expected Utility without Additivity," Econometrica, Econometric Society, vol. 57(3), pages 571-587, May.
    10. Tsogbadral Galaabaatar & Edi Karni, 2013. "Subjective Expected Utility With Incomplete Preferences," Econometrica, Econometric Society, vol. 81(1), pages 255-284, January.
    11. Eliaz, Kfir & Ok, Efe A., 2006. "Indifference or indecisiveness? Choice-theoretic foundations of incomplete preferences," Games and Economic Behavior, Elsevier, vol. 56(1), pages 61-86, July.
    12. Alipour, M. & Hafezi, R. & Amer, M. & Akhavan, A.N., 2017. "A new hybrid fuzzy cognitive map-based scenario planning approach for Iran's oil production pathways in the post–sanction period," Energy, Elsevier, vol. 135(C), pages 851-864.
    13. Wright, George & Goodwin, Paul, 2009. "Decision making and planning under low levels of predictability: Enhancing the scenario method," International Journal of Forecasting, Elsevier, vol. 25(4), pages 813-825, October.
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    Keywords

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    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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