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The uniqueness of local proper scoring rules: the logarithmic family

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  • Jingni Yang

    (Australian National University)

Abstract

Local proper scoring rules provide convenient tools for measuring subjective probabilities. Savage (J Am Stat Assoc 66(336), 783–801, 1971) has shown that the only local proper scoring rule for more than two exclusive events is the logarithmic family. We generalize Savage (1971) by relaxing the properness and the domain, and provide simpler proof.

Suggested Citation

  • Jingni Yang, 2020. "The uniqueness of local proper scoring rules: the logarithmic family," Theory and Decision, Springer, vol. 88(2), pages 315-322, March.
  • Handle: RePEc:kap:theord:v:88:y:2020:i:2:d:10.1007_s11238-019-09727-2
    DOI: 10.1007/s11238-019-09727-2
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    References listed on IDEAS

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    1. repec:cup:judgdm:v:9:y:2014:i:1:p:1-14 is not listed on IDEAS
    2. Theo Offerman & Joep Sonnemans & Gijs Van De Kuilen & Peter P. Wakker, 2009. "A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1461-1489.
    3. Guillaume Hollard & Sébastien Massoni & Jean-Christophe Vergnaud, 2016. "In search of good probability assessors: an experimental comparison of elicitation rules for confidence judgments," Theory and Decision, Springer, vol. 80(3), pages 363-387, March.
    4. D. Johnstone, 2007. "The Value of a Probability Forecast from Portfolio Theory," Theory and Decision, Springer, vol. 63(2), pages 153-203, September.
    5. Guillaume Hollard & Sébastien Massoni & Jean-Christophe Vergnaud, 2016. "In search of good probability assessors: an experimental comparison of elicitation rules for confidence judgments," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01306258, HAL.
    6. Emir Shuford & Arthur Albert & H. Edward Massengill, 1966. "Admissible probability measurement procedures," Psychometrika, Springer;The Psychometric Society, vol. 31(2), pages 125-145, June.
    7. Myerson, Roger B., 1982. "Optimal coordination mechanisms in generalized principal-agent problems," Journal of Mathematical Economics, Elsevier, vol. 10(1), pages 67-81, June.
    8. Johnson, Scott & Pratt, John W & Zeckhauser, Richard J, 1990. "Efficiency Despite Mutually Payoff-Relevant Private Information: The Finite Case," Econometrica, Econometric Society, vol. 58(4), pages 873-900, July.
    9. J. Aczel & J. Pfanzagl, 1967. "Remarks on the measurement of subjective probability and information," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 11(1), pages 91-105, December.
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    Cited by:

    1. Olivier L'Haridon & Craig S. Webb & Horst Zank, 2021. "An Effective and Simple Tool for Measuring Loss Aversion," Economics Discussion Paper Series 2107, Economics, The University of Manchester.

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