Cognitive skills affect economic preferences, strategic behavior, and job attachment

By Stephen V. Burks, Jeffrey P. Carpenter, Lorenz F. Goette, Aldo Rustichini. Proceedings of the National Academy of Sciences of the United States of America, 2009

664 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Safety Research

View Paper: https://www.semanticscholar.org/paper/204107fbc787321980547bddb5f9661bc1eade93

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Citations in the corpus

Higher Order Risk Attitudes, Demographics, and Financial Decisions (2011, result): “Moreover, as shown above using the CRT measure for the student sample, and as previously shown in large field studies (Burks et al. 2009, Dohmen et al. 2010), cognitive ability is related to risk preferences. If cognitive ability is unaffected by savings and portfolio choices, this supports the inte”
How to measure time preferences in children: a comparison of two methods (2015, methodology): “Furthermore, low correlations between different measures of patience have also been found for adults: Burks et al. (2012) report rank correlations between their new proxy for impulsivity and β, σ and survey-based measures for patience of ρ=0.”
The today and tomorrow of kids: Time preferences and educational outcomes of children (2011, background): “Cognitive ability may play a role in determining discount rates, as well as in our ability to measure them accurately through an experimental procedure (Benjamin et al., 2006; Burks et al, 2009; Dohmen et al., 2011).”
Self-confidence and strategic behavior (2017, neutral): “Burks et al. (2013), based on data in Burks et al. (2009), investigate whether concerns for self-image contribute to overconfidence and whether confidence judgments are consistent with Bayesian information processing starting from a common prior.”
The psychometric and empirical properties of measures of risk preferences (2017, positive): “We replicate previously reported associations between attitudes toward risk and cognitive ability (Benjamin et al. 2013; Burks et al. 2009; Dave et al. 2010; Dohmen et al. 2010; Frederick 2005) in the sample of male respondents.”
Chapter 21 - Household Finance: An Emerging Field∗ (2013, positive): “Burks et al. (2009) and Anderson et al. (2011) use data from a behavioral economic field experiment with 1,069 US trainee truck drivers and find that high IQ drivers tend to take more risk.”
Overconfidence and Social Signalling (2013, methodology): “The two tests were part of a larger data collection process for the Truckers and Turnover Project (Burks et al., 2009), which was administered to participants in groups of twenty to thirty from December, 2005 to August, 2006.”
Economic Decision-Making in Poverty Depletes Behavioral Control (2011, background): “Burks et al. (2008) find that in addition to choosing larger, later payments in the lab, truck drivers with better performance on cognitive tests are more likely to keep their job long enough to avoid incurring a costly debt for training.”
Risk aversion relates to cognitive ability: Preferences or Noise? (2016, background): “Burks et al. (2009) and Dave et al. (2010) find that subjects with low cognitive ability more often violate monotonicity by switching back and forth when moving down the MPL.”
Intelligence, Personality, and Gains from Cooperation in Repeated Interactions (2019, background): “This prediction finds some support when games are strictly competitive (such as the Hit 15 game in Burks et al. [2009]). Palacios-Huerta and Volij (2009) show that individuals who are better trained (or better able) to solve complex problems by backward induction make choices that are closer to game”