Choosing Outcomes versus Choosing Products: Consumer‐Focused Retirement Investment Advice
By Daniel G. Goldstein, Eric J. Johnson, William F. Sharpe. 2008
176 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/95bb1c0b7e8f9d24cac2217f93dfae1afa403ce3
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
- Robin M. Hogarth
- Tomás Lejarraga
- E. Soyer
- David M. Rothschild
- Daniel G. Goldstein
- Erik Zawadzki
- Sébastien Lahaie
- Gerd Gigerenzer
In General Decision Sciences
- Robin M. Hogarth
- Tomás Lejarraga
- E. Soyer
- Daniel G. Goldstein
- Erik Zawadzki
- Sébastien Lahaie
- Gerd Gigerenzer
- Matthew T. Hora
Citations in the corpus
- Lay understanding of probability distributions (2014, background): “Goldstein, Sharpe and colleagues (Sharpe, Goldstein, & Blythe, 2000; Goldstein, Johnson, & Sharpe, 2008) created the graphical Distribution Builder methodology in which bins are fixed and subjects assign probabilities to bins by dragging stacks of markers into the bins.”
- Nonparametric Scoring Rules (2015, background): “Another common approach is to bin the domain and effectively elicit a histogram (Goldstein, Johnson, and Sharpe 2008).”
- Measuring the time stability of Prospect Theory preferences (2010, unknown): “ Goldstein et al. (2008) measure the consistency of CRRA parameters with a time lag of 1 year for a highly diversified subject pool.”
- INCREASING SAVING BEHAVIOR THROUGH AGE-PROGRESSED RENDERINGS OF THE FUTURE SELF (2011, unknown): “…fully two-thirds of early baby boomers (born between 1945 and 1955) do not have the resources to maintain their preretirement standards of living in retirement, perhaps resulting from their inability to forecast the consequences of their investment decisions (Goldstein, Johnson, and Sharpe 2008).”
- The Two Settings of Kind and Wicked Learning Environments (2015, methodology): “These methods have proven useful, for example, in financial decisions (Goldstein, Johnson, & Sharpe, 2008; Kaufmann, Weber, & Haisley, 2013) and understanding the implications of climate change (Sterman, 2011).”