Decisions Under Uncertainty: Psychological, Economic, and Neuroeconomic Explanations of Risk Preference

By Elke U. Weber, Eric J. Johnson. 2009

244 citations recorded by the source corpus.

Subfields: Applied Psychology, Economics and Econometrics, General Decision Sciences

View Paper: https://www.semanticscholar.org/paper/72606f4e35660a5630839fedc188bf14ff634b27

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

1. I. Levin
2. Marco Lauriola
3. Angelo Panno
4. C. Lejuez
5. Wolfram Schultz
6. Michel J. J. Handgraaf
7. Elke U. Weber
8. Kirstin C Appelt

In Economics and Econometrics

1. Marciano M. Siniscalchi
2. M. Machina
3. Wolfram Schultz
4. Elke U. Weber
5. Laure Cabantous

In General Decision Sciences

1. I. Levin
2. M. Machina
3. Marco Lauriola
4. Marciano M. Siniscalchi
5. Elke U. Weber
6. Wolfram Schultz
7. Michel J. J. Handgraaf
8. Kirstin C Appelt

Citations in the corpus

• Developing a Scale to Measure Tourist Perceived Safety (2021, background): “Weber and Johnson (2009), in reviewing decisions under uncertainty, cited expected value theory, expected utility theory, risk-return models, and prospect theory.”
• The Decision Making Individual Differences Inventory and guidelines for the study of individual differences in judgment and decision-making research (2011, background): “Measures of risk attitude fall into three categories (see Weber & Johnson, 2008, for a review).”
• Individual Differences in Risky Decision Making: A Meta‐analysis of Sensation Seeking and Impulsivity with the Balloon Analogue Risk Task (2014, background): “Studies of risky decision making were traditionally based on a variety of hypothetical gambles and economic games administered in laboratory settings to disclose systematic violations of the principles of rationality involved in making decisions (e.g., Weber & Johnson, 2008).”
• Ambiguity and Ambiguity Aversion (2014, background): “The starting point is again Yaari’s (1969) approach, but these authors focus on comparisons between acts and constant prizes.”
• Neuronal Reward and Decision Signals: From Theories to Data. (2015, background): “This approach recognizes the difference between riskless and risky utility functions (631).”
• How to measure time preferences: An experimental comparison of three methods (2013, unknown): “…words, the theory is that participants construct their time preference during the first question or two, and then carry this preference forward into the rest of the task, consistent with theories of order effects in constructed choice such as Query Theory (Weber & Johnson, 2009; Weber et al., 2007).”