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Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence

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  • Chorus, Caspar
  • van Cranenburgh, Sander
  • Daniel, Aemiro Melkamu
  • Sandorf, Erlend Dancke
  • Sobhani, Anae
  • Szép, Teodóra

Abstract

Theories of decision-making are routinely based on the notion that decision-makers choose alternatives which align with their underlying preferences—and hence that their preferences can be inferred from their choices. In some situations, however, a decision-maker may wish to hide his or her preferences from an onlooker. This paper argues that such obfuscation-based choice behavior is likely to be relevant in various situations, such as political decision-making. This paper puts forward a simple and tractable discrete choice model of obfuscation-based choice behavior, by combining the well-known concepts of Bayesian inference and information entropy. After deriving the model and illustrating some key properties, the paper presents the results of an obfuscation game that was designed to explore whether decision-makers, when properly incentivized, would be able to obfuscate effectively, and which heuristics they employ to do so. Together, the analyses presented in this paper provide stepping stones towards a more profound understanding of obfuscation-based decision-making.

Suggested Citation

  • Chorus, Caspar & van Cranenburgh, Sander & Daniel, Aemiro Melkamu & Sandorf, Erlend Dancke & Sobhani, Anae & Szép, Teodóra, 2021. "Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 28-44.
  • Handle: RePEc:eee:matsoc:v:109:y:2021:i:c:p:28-44
    DOI: 10.1016/j.mathsocsci.2020.10.002
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    as
    1. Simonson, Itamar, 1989. "Choice Based on Reasons: The Case of Attraction and Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(2), pages 158-174, September.
    2. Davis, Douglas D. & Holt, Charles a., 1993. "Experimental economics: Methods, problems and promise," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 8(2), pages 179-212.
    3. Einhorn, Hj & Hogarth, Rm, 1981. "Behavioral Decision-Theory - Processes Of Judgment And Choice," Journal of Accounting Research, Wiley Blackwell, vol. 19(1), pages 1-31.
    4. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Caspar Chorus & Michel Bierlaire, 2013. "An empirical comparison of travel choice models that capture preferences for compromise alternatives," Transportation, Springer, vol. 40(3), pages 549-562, May.
    7. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    8. Page, Benjamin I., 1976. "The Theory of Political Ambiguity," American Political Science Review, Cambridge University Press, vol. 70(3), pages 742-752, September.
    9. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    10. Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-279, May.
    11. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    13. Marley, A.A.J. & Swait, J., 2017. "Goal-based models for discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 72-88.
    14. Saviotti, P. P., 1988. "Information, variety and entropy in technoeconomic development," Research Policy, Elsevier, vol. 17(2), pages 89-103, April.
    15. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    16. repec:cup:judgdm:v:9:y:2014:i:3:p:199-206 is not listed on IDEAS
    17. Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
    18. Bagwell, Laurie Simon & Bernheim, B Douglas, 1996. "Veblen Effects in a Theory of Conspicuous Consumption," American Economic Review, American Economic Association, vol. 86(3), pages 349-373, June.
    19. repec:cup:judgdm:v:10:y:2015:i:6:p:538-548 is not listed on IDEAS
    20. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    21. Arentze, Theo A. & Timmermans, Harry J.P., 2009. "A need-based model of multi-day, multi-person activity generation," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 251-265, February.
    22. Hurwicz, Leonid, 1973. "The Design of Mechanisms for Resource Allocation," American Economic Review, American Economic Association, vol. 63(2), pages 1-30, May.
    23. Robert H. Frank, 1996. "The Political Economy of Preference Falsification: Timur Kuran's Private Truths, Public Lies," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 115-123, March.
    24. Alexander, Peter J., 1997. "Product variety and market structure: A new measure and a simple test," Journal of Economic Behavior & Organization, Elsevier, vol. 32(2), pages 207-214, February.
    25. McConnell K. E., 1995. "Consumer Surplus from Discrete Choice Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 263-270, November.
    26. Kono, Daniel Y., 2006. "Optimal Obfuscation: Democracy and Trade Policy Transparency," American Political Science Review, Cambridge University Press, vol. 100(3), pages 369-384, August.
    27. Amartya K. Sen, 1971. "Choice Functions and Revealed Preference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 38(3), pages 307-317.
    28. repec:cup:judgdm:v:13:y:2018:i:1:p:99-111 is not listed on IDEAS
    29. Loewenstein, George, 1999. "Experimental Economics from the Vantage-Point of Behavioural Economics," Economic Journal, Royal Economic Society, vol. 109(453), pages 23-34, February.
    30. repec:cup:judgdm:v:2:y:2007:i::p:23-28 is not listed on IDEAS
    31. Colin F. Camerer & Teck-Hua Ho & Juin-Kuan Chong, 2004. "A Cognitive Hierarchy Model of Games," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 861-898.
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