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Neural Activity Reveals Preferences without Choices

Citations

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Cited by:

  1. Motoki, Kosuke & Suzuki, Shinsuke & Kawashima, Ryuta & Sugiura, Motoaki, 2020. "A Combination of Self-Reported Data and Social-Related Neural Measures Forecasts Viral Marketing Success on Social Media," Journal of Interactive Marketing, Elsevier, vol. 52(C), pages 99-117.
  2. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.
  3. Daniel Serra, 2021. "Decision-making: from neuroscience to neuroeconomics—an overview," Theory and Decision, Springer, vol. 91(1), pages 1-80, July.
  4. Smith, Trenton G., 2023. "Endocrine state is the physical manifestation of subjective beliefs," Journal of Economic Psychology, Elsevier, vol. 96(C).
  5. Webb, Ryan & Mehta, Nitin & Levy, Ifat, 2021. "Assessing consumer demand with noisy neural measurements," Journal of Econometrics, Elsevier, vol. 222(1), pages 89-106.
  6. Krajbich, Ian & Camerer, Colin & Rangel, Antonio, 2017. "Exploring the scope of neurometrically informed mechanism design," Games and Economic Behavior, Elsevier, vol. 101(C), pages 49-62.
  7. George Judge, 2015. "Entropy Maximization as a Basis for Information Recovery in Dynamic Economic Behavioral Systems," Econometrics, MDPI, vol. 3(1), pages 1-10, February.
  8. Colby, Bonnie, 2023. "Teaching Water Resource Economics for Policy Analysis," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(3), September.
  9. Lusk, Jayson L. & Crespi, John M. & McFadden, Brandon R. & Cherry, J. Bradley C. & Martin, Laura & Bruce, Amanda, 2016. "Neural antecedents of a random utility model," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 93-103.
  10. Eszter Timár & Hubert János Kiss & Dániel Horn, 2026. "Comprehension and deliberation: decomposing response time in economic experiments," KRTK-KTI WORKING PAPERS 2611, Institute of Economics, Centre for Economic and Regional Studies.
  11. Daniel Serra, 2019. "La neuroéconomie en question : débats et controverses," Working Papers halshs-02160911, HAL.
  12. Ryan H Murphy, 2023. "The clear expectation of cultural betterment in the face of rising living standards," Rationality and Society, , vol. 35(3), pages 338-365, August.
  13. Fadong Chen & Urs Fischbacher, 2016. "Response time and click position: cheap indicators of preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 109-126, November.
  14. Dimitris Christelis & Dimitris Georgarakos & Tullio Jappelli & Luigi Pistaferri & Maarten van Rooij, 2019. "Asymmetric Consumption Effects of Transitory Income Shocks," Economic Journal, Royal Economic Society, vol. 129(622), pages 2322-2341.
  15. Xiaoxue Gao & Eshin Jolly & Hongbo Yu & Huiying Liu & Xiaolin Zhou & Luke J. Chang, 2024. "The psychological, computational, and neural foundations of indebtedness," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  16. Jonathan A. Parker & Nicholas S. Souleles, 2017. "Reported Effects vs. Revealed-Preference Estimates: Evidence from the propensity to spend tax rebates," NBER Working Papers 23920, National Bureau of Economic Research, Inc.
  17. Guo, Julie & Tymula, Agnieszka, 2021. "Waterfall illusion in risky choice – exposure to outcome-irrelevant gambles affects subsequent valuation of risky gambles," European Economic Review, Elsevier, vol. 139(C).
  18. Sophie Bavard & Erik Stuchlý & Arkady Konovalov & Sebastian Gluth, 2024. "Humans can infer social preferences from decision speed alone," PLOS Biology, Public Library of Science, vol. 22(6), pages 1-27, June.
  19. John A. Clithero & Jae Joon Lee & Joshua Tasoff, 2019. "Supervised Machine Learning for Eliciting Individual Demand," Papers 1904.13329, arXiv.org, revised Feb 2021.
  20. Colin F. Camerer & Gideon Nave & Alec Smith, 2019. "Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning," Management Science, INFORMS, vol. 65(4), pages 1867-1890, April.
  21. Glimcher, Paul W. & Tymula, Agnieszka A., 2023. "Expected subjective value theory (ESVT): A representation of decision under risk and certainty," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 110-128.
  22. Halko, Marja-Liisa & Lappalainen, Olli & Sääksvuori, Lauri, 2021. "Do non-choice data reveal economic preferences? Evidence from biometric data and compensation-scheme choice," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 87-104.
  23. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
  24. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
  25. Clithero, John A., 2018. "Improving out-of-sample predictions using response times and a model of the decision process," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 344-375.
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