Naturally Occurring Preferences and Exogenous Laboratory Experiments: A Case Study of Risk Aversion
By Glenn W. Harrison, John A. List, Charles A. Towe. 2007
306 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Safety Research
View Paper: https://www.semanticscholar.org/paper/215c7666a19567199ad33beb14bf2aaa87f08d46
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Glenn W. Harrison
- E Elisabet Rutström
- Lisa R. Anderson
- J. Mellor
- Thomas Epper
- Ragan Petrie
- Sébastien Pouget
- Sophie Moinas
In General Decision Sciences
- Thomas Epper
- Helga Fehr-Duda
- Glenn W. Harrison
- Adrian Bruhin
- E Elisabet Rutström
- Lisa R. Anderson
- J. Mellor
- Sébastien Pouget
In Safety Research
- Glenn W. Harrison
- E Elisabet Rutström
- Lisa R. Anderson
- J. Mellor
- Thomas Epper
- Sophie Moinas
- Sébastien Pouget
- Ragan Petrie
Citations in the corpus
- Learning from mistakes: What do inconsistent choices over risk tell us? (2009, background): “3 Further, one may infer from the comparison of unexpected subject “switch-backs” in Holt and Laury (2002) with Prasad and Salmon (2007) that people make fewer inconsistent choices when lotteries are presented all at once, rather than sequentially.”
- Paradoxes and mechanisms for choice under risk (2014, unknown): “One-sided alternatives to Hypothesis 4 are provided by decreasing absolute risk aversion or increasing absolute risk aversion (IARA).”
- Nature or Nurture: What Determines Investor Behavior? (2010, unknown): “However, eliciting preferences for risk-taking using experiments is problematic and may not necessarily provide a reliable measure (Harrison et al., 2007).”
- The Bubble Game : An experimental Study of Speculation (An earlier version of this paper was circulated under the title "The Rational and Irrational Bubbles : an Experiment") (2013, methodology): “We adjust their questionnaire in order to match the set of possible decisions to the decisions subjects actually face in our experiment.(19) The minimum, median, maximum, and average gains in the experiment are respectively 0, 1, 10, and 3.”
- Risk and Rationality: Uncovering Heterogeneity in Probability Distortion (2009, background): “…to the lottery range.12 10Previous attempts to estimate model parameters simultaneously with the reference point are extremely scarce and suggest that the reference point is of negligible magnitude (Harrison, List, and Towe (2007)); their experimental design included mixed lotteries, however.”
- Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China (2016, unknown): “The other approach uses experimental methods to observe choices that subjects make over lotteries with different expected payoffs and variances (Harrison et al. 2007; Schechter 2007; Holt and Laury 2002).”
- Are risk preferences stable? Comparing an experimental measure with a validated survey-based measure (2008, methodology): “Similarly, Harrison et al. (2007) excluded 14 subjects whose choices suggested they were 5”
- A Reconsideration of Gender Differences in Risk Attitudes (2016, unknown): “In contrast, making 6 safe choices in the version of the task like that implemented by Harrison et al. (2007) corresponds to switching when the probability of the good outcome is equal to 0.35, due to the fact that in this case there are 20 choices and the change in probability between each row is…”
- Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey (2005, unknown): “The estimates of CRRA coefficients in this paper differ from previous studies in that they incorporate detailed information on individual wealth, and are based on a lottery with stakes that are large enough to be meaningful in terms of lifetime income (for other approaches see Barsky et al., 1997; D”