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Informative Consumption

Author

Listed:
  • Xuehan Jiang
  • Xi Zhi Lim

Abstract

Risky consumption generates information when uncertainty is resolved. This paper axiomatically characterizes the consumption-information trade-off even when the analyst does not observe an agent's future problems. A subjective future menu underpins the agent's willingness to sacrifice current consumption for future information. By carefully separating objective risk from subjective risk, we decompose the certainty equivalent of an act into a standard risk premium and a novel information premium. To facilitate applications, we introduce an Arrow-Debreu-Pratt parameterization that yields a tractable model, capturing risk aversion and information incentives with a single coefficient for each. Finally, we show that heterogeneity in risk-taking may arise from differing opportunities to capitalize on information, rather than being solely attributable to differences in risk aversion.

Suggested Citation

  • Xuehan Jiang & Xi Zhi Lim, 2026. "Informative Consumption," Papers 2606.16380, arXiv.org.
    • Handle: RePEc:arx:papers:2606.16380
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    References listed on IDEAS

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    1. Piermont, Evan & Takeoka, Norio & Teper, Roee, 2016. "Learning the Krepsian state: Exploration through consumption," Games and Economic Behavior, Elsevier, vol. 100(C), pages 69-94.
    2. Eddie Dekel & Barton L Lipman & Aldo Rustichini & Todd Sarver, 2007. "Representing Preferences with a Unique Subjective State Space: A Corrigendum -super-1," Econometrica, Econometric Society, vol. 75(2), pages 591-600, March.
    3. Andrew Caplin & Mark Dean & John Leahy, 2022. "Rationally Inattentive Behavior: Characterizing and Generalizing Shannon Entropy," Journal of Political Economy, University of Chicago Press, vol. 130(6), pages 1676-1715.
    4. Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-577, May.
    5. Roee Teper, 2016. "Learning the Krepsian State: Exploration Through Consumption," Working Paper 5860, Department of Economics, University of Pittsburgh.
    6. Azrieli, Yaron & Lehrer, Ehud, 2008. "The value of a stochastic information structure," Games and Economic Behavior, Elsevier, vol. 63(2), pages 679-693, July.
    7. Hyogo, Kazuya, 2007. "A subjective model of experimentation," Journal of Economic Theory, Elsevier, vol. 133(1), pages 316-330, March.
    8. Faruk Gul & Paulo Natenzon & Erkut Y. Ozbay & Wolfgang Pesendorfer, 2025. "The Thrill of Gradual Learning," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 3(3), pages 477-496.
    9. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    10. Andrew Caplin & Mark Dean, 2015. "Revealed Preference, Rational Inattention, and Costly Information Acquisition," American Economic Review, American Economic Association, vol. 105(7), pages 2183-2203, July.
    11. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    12. de Oliveira, Henrique & Denti, Tommaso & Mihm, Maximilian & Ozbek, Kemal, 2017. "Rationally inattentive preferences and hidden information costs," Theoretical Economics, Econometric Society, vol. 12(2), May.
    13. Cooke, Kevin, 2017. "Preference discovery and experimentation," Theoretical Economics, Econometric Society, vol. 12(3), September.
    14. Dillenberger, David & Lleras, Juan Sebastián & Sadowski, Philipp & Takeoka, Norio, 2014. "A theory of subjective learning," Journal of Economic Theory, Elsevier, vol. 153(C), pages 287-312.
    15. Gilboa, Itzhak & Lehrer, Ehud, 1991. "The value of information - An axiomatic approach," Journal of Mathematical Economics, Elsevier, vol. 20(5), pages 443-459.
    16. Alexander Frankel & Emir Kamenica, 2019. "Quantifying Information and Uncertainty," American Economic Review, American Economic Association, vol. 109(10), pages 3650-3680, October.
    17. Yusufcan Masatlioglu & Yeşim Orhun & Collin Raymond, 2023. "Intrinsic Information Preferences and Skewness," American Economic Review, American Economic Association, vol. 113(10), pages 2615-2644, October.
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