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Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles
16 references·0 citing·40 second hop
Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles (2023)Using Computational Models to Understand …Nonlinear probability weighting can reflect attentional biases in sequential sampling. (2021)Nonlinear probability weighti…Psychological mechanisms of loss aversion: A drift-diffusion decomposition (2020)Psychological mechanisms of l…Decomposing loss aversion from gaze allocation and pupil dilation (2020)Decomposing loss aversion fro…Revealed strength of preference: Inference from response times (2019)Revealed strength of preferen…The Loss of Loss Aversion: Will It Loom Larger Than Its Gain? (2018)The Loss of Loss Aversion: Wi…An attentional drift diffusion model over binary-attribute choice (2017)An attentional drift diffusio…Advances in Prospect Theory: Cumulative Representation of Uncertainty (2016)Advances in Prospect Theory: …On the descriptive value of loss aversion in decisions under risk: Six clarifications (2013)On the descriptive value of l…HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python (2013)HDDM: Hierarchical Bayesian e…Visual fixations and the computation and comparison of value in simple choice (2010)Visual fixations and the comp…A psychological law of inertia and the illusion of loss aversion (2006)A psychological law of inerti…A psychological law of inertia and the illusion of loss aversion (2006)A psychological law of inerti…Loss Aversion and Inhibition in Dynamical Models of Multialternative Choice. (2004)Loss Aversion and Inhibition …Advances in prospect theory: Cumulative representation of uncertainty (1992)Advances in prospect theory: …Automatic vigilance: The attention-grabbing power of negative social information. (1991)Automatic vigilance: The atte…Prospect Theory: An Analysis of Decision under Risk (1979)Prospect Theory: An Analysis …Choices, values, and frames. (1984)Loss Aversion in Riskless Choice: A Reference-Dependent Model (1991)Extending the Bounds of Rationality: Evidence and Theories of Preferential Choice (2006)The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions (2012)In search of the focus of attention in working memory: 13 years of the retro-cue effect (2016)The Measurement of Meaning (1957)Psychological stress and the coping process (1966)Prospect theory: An analysis of decision under risk (1988)Consequences of Automatic Evaluation: Immediate Behavioral Predispositions to Approach or Avoid the Stimulus (1999)Hot Cognition or Cool Consideration? Testing the Effects of Motivated Reasoning on Political Decision Making (2002)Managing social norms for persuasive impact (2006)Judgment under Uncertainty: Heuristics and Biases (1975)Individual differences in reasoning: Implications for the rationality debate? (2000)A perspective on judgment and choice: Mapping bounded rationality. (2003)Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. (1993)Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions (2011)Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study (2011)Attention and choice: A review on eye movements in decision making (2013)Behavioral Finance (2015)Seepage: Climate change denial and its effect on the scientific community (2015)Theory of games and economic behavior (2019)Imagining and Knowing (2020)The Structure of Scientific Revolutions (1963)The Framing of Decisions and the Psychology of Choice (1981)The Bias Bias in Behavioral Economics (2018)Regulatory Focus and Fit Effects in Organizations (2020)Digital transformation and entrepreneurship process in SMEs of India: a moderating role of adoption of AI-CRM capability and strategic planning (2021)Risk, Ambiguity, and the Savage Axioms (1961)Myopic Loss Aversion and the Equity Premium Puzzle (1993)Prospect Theory in the Wild: Evidence from the Field (2000)High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence (2008)American Economic Review (2019)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)How to Make a 29% Increase Look Bigger: The Unit Effect in Option Comparisons (2011)How to make loss aversion disappear and reverse: Tests of the decision by sampling origin of loss aversion. (2014)From anomalies to forecasts: Toward a descriptive model of decisions under risk, under ambiguity, and from experience. (2017)Eye tracking and pupillometry are indicators of dissociable latent decision processes. (2014)Large-scale analysis of test–retest reliabilities of self-regulation measures (2019)Comparison of Different Response Time Outlier Exclusion Methods: A Simulation Study (2021)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)
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References

  • 1979Prospect Theory: An Analysis of Decision under Risk48,459 cited
  • 1992Advances in prospect theory: Cumulative representation of uncertainty15,457 cited
  • 1991Automatic vigilance: The attention-grabbing power of negative social information.1,588 cited
  • 2010Visual fixations and the computation and comparison of value in simple choice1,406 cited
  • 2013HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python1,043 cited
  • 2016Advances in Prospect Theory: Cumulative Representation of Uncertainty547 cited
  • 2004Loss Aversion and Inhibition in Dynamical Models of Multialternative Choice.403 cited
  • 2018The Loss of Loss Aversion: Will It Loom Larger Than Its Gain?309 cited
  • 2013On the descriptive value of loss aversion in decisions under risk: Six clarifications194 cited
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  • 2006A psychological law of inertia and the illusion of loss aversion119 cited
  • 2019Revealed strength of preference: Inference from response times108 cited
  • 2017An attentional drift diffusion model over binary-attribute choice97 cited
  • 2020Decomposing loss aversion from gaze allocation and pupil dilation64 cited
  • 2020

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Psychological mechanisms of loss aversion: A drift-diffusion decomposition
48 cited
  • 2021Nonlinear probability weighting can reflect attentional biases in sequential sampling.39 cited
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