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Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters

Citations

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Cited by:

  1. Elizabeth C. Webb & Suzanne B. Shu, 2017. "Is broad bracketing always better? How broad decision framing leads to more optimal preferences over repeated gambles," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(4), pages 382-395, July.
  2. Kpegli, Yao Thibaut & Corgnet, Brice & Zylbersztejn, Adam, 2023. "All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components," Journal of Mathematical Economics, Elsevier, vol. 104(C).
  3. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
  4. Pavlo R. Blavatskyy & Hela Maafi, 2018. "Estimating representations of time preferences and models of probabilistic intertemporal choice on experimental data," Journal of Risk and Uncertainty, Springer, vol. 56(3), pages 259-287, June.
  5. Victor Stango & Joanne Yoong & Jonathan Zinman, 2017. "Quicksand or Bedrock for Behavioral Economics? Assessing Foundational Empirical Questions," NBER Working Papers 23625, National Bureau of Economic Research, Inc.
  6. Lau Lilleholt, 2019. "Cognitive ability and risk aversion: A systematic review and meta analysis," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(3), pages 234-279, May.
  7. John R. Nofsinger & Corey A. Shank, 2019. "DEEP sleep: The impact of sleep on financial risk taking," Review of Financial Economics, John Wiley & Sons, vol. 37(1), pages 92-105, January.
  8. David Richter & Rui Mata, 2018. "Age Differences in Intertemporal Choice: U-Shaped Associations in a Probability Sample of German Households," SOEPpapers on Multidisciplinary Panel Data Research 974, DIW Berlin, The German Socio-Economic Panel (SOEP).
  9. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
  10. Pavlo Blavatskyy, 2018. "Temporal dominance and relative patience in intertemporal choice," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 361-384, March.
  11. Daniel R. Cavagnaro & Gabriel J. Aranovich & Samuel M. McClure & Mark A. Pitt & Jay I. Myung, 2016. "On the functional form of temporal discounting: An optimized adaptive test," Journal of Risk and Uncertainty, Springer, vol. 52(3), pages 233-254, June.
  12. repec:cup:judgdm:v:14:y:2019:i:4:p:381-394 is not listed on IDEAS
  13. Arkady Konovalov & Ian Krajbich, 2019. "Revealed strength of preference: Inference from response times," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 381-394, July.
  14. Emmanuel Kemel & Muriel Travers, 2016. "Comparing attitudes toward time and toward money in experience-based decisions," Theory and Decision, Springer, vol. 80(1), pages 71-100, January.
  15. Abel, Martin & Burger, Rulof, 2022. "Choice over Payment Schemes and Worker Effort," IZA Discussion Papers 15769, Institute of Labor Economics (IZA).
  16. Ryan O. Murphy & Robert H. W. ten Brincke, 2018. "Hierarchical Maximum Likelihood Parameter Estimation for Cumulative Prospect Theory: Improving the Reliability of Individual Risk Parameter Estimates," Management Science, INFORMS, vol. 64(1), pages 308-328, January.
  17. Zhou Yongwu & Lin Zhaozhan, 2016. "Impacts of Hyperbolic Discounting on Inventory Replenishment Policy Under Inflation," Journal of Systems Science and Information, De Gruyter, vol. 4(1), pages 24-39, February.
  18. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
  19. Marc A. Ragin & Benjamin L. Collier & Johannes G. Jaspersen, 2021. "The effect of information disclosure on demand for high‐load insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 161-193, March.
  20. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
  21. Decancq, Koen & Nys, Annemie, 2021. "Non-parametric well-being comparisons," European Economic Review, Elsevier, vol. 133(C).
  22. Cathleen Johnson & Aurélien Baillon & Han Bleichrodt & Zhihua Li & Dennie Dolder & Peter P. Wakker, 2021. "Prince: An improved method for measuring incentivized preferences," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 1-28, February.
  23. Blavatskyy, Pavlo, 2018. "Fechner’s strong utility model for choice among n>2 alternatives: Risky lotteries, Savage acts, and intertemporal payoffs," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 75-82.
  24. Goldbach, Carina & Schlüter, Achim, 2018. "Risk aversion, time preferences, and out-migration. Experimental evidence from Ghana and Indonesia," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 132-148.
  25. Victor Stango & Jonathan Zinman, 2019. "We are all Behavioral, More or Less: Measuring and Using Consumer-level Behavioral Sufficient Statistics," NBER Working Papers 25540, National Bureau of Economic Research, Inc.
  26. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
  27. Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
  28. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
  29. Alam, Jessica & Georgalos, Konstantinos & Rolls, Harrison, 2022. "Risk preferences, gender effects and Bayesian econometrics," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 168-183.
  30. Blavatskyy, Pavlo, 2019. "Future plans and errors," Mathematical Social Sciences, Elsevier, vol. 102(C), pages 85-92.
  31. Wenting Zhou & John Hey, 2018. "Context matters," Experimental Economics, Springer;Economic Science Association, vol. 21(4), pages 723-756, December.
  32. Victor Stango & Joanne Yoong & Jonathan Zinman, 2017. "The Quest for Parsimony in Behavioral Economics: New Methods and Evidence on Three Fronts," NBER Working Papers 23057, National Bureau of Economic Research, Inc.
  33. Alina Ferecatu & Ayse Önçüler, 2016. "Heterogeneous risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 1-28, August.
  34. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2023. "Behavioral welfare economics and risk preferences: a Bayesian approach," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 273-303, April.
  35. Blavatskyy, Pavlo R., 2017. "Probabilistic intertemporal choice," Journal of Mathematical Economics, Elsevier, vol. 73(C), pages 142-148.
  36. repec:cup:judgdm:v:12:y:2017:i:4:p:382-395 is not listed on IDEAS
  37. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
  38. Macera, Rosario, 2018. "Present or future incentives? On the optimality of fixed wages with moral hazard," Journal of Economic Behavior & Organization, Elsevier, vol. 147(C), pages 129-144.
  39. Mingfeng Lin & Yong Liu & Siva Viswanathan, 2018. "Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets," Management Science, INFORMS, vol. 64(1), pages 345-359, January.
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