The Binarized Scoring Rule
By Tanjim Hossain, Ryo Okui. 2013
244 citations recorded by the source corpus.
Subfields: General Decision Sciences, Management Science and Operations Research, Safety Research
View Paper: https://www.semanticscholar.org/paper/d14164458b441187576299672898548ce9475eb1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Decision Sciences
In Management Science and Operations Research
In Safety Research
- María P. Recalde
- Ingar K. Haaland
- Johannes Wohlfart
- Christopher Roth
- Lise Vesterlund
- Linda Babcock
- John A. List
- James Andreoni
Citations in the corpus
- Designing Information Provision Experiments (2020, methodology): “More recently, the binarized scoring rule (BSR) by Hossain and Okui (2013) has become a popular alternative to the QSR. Compared to the QSR, in which the size of the reward depends on the accuracy of people’s estimates, the BSR offers a fixed reward in which the chance of winning the reward…”
- A penny for your thoughts: a survey of methods for eliciting beliefs (2014, unknown): “Jensen and Peterson 1973; Offerman et al. 2009). With computers one can implement this easily by offering subjects sliders for setting the desired probability. When moving the sliders, the software can simultaneously display the payoffs associated with each outcome (e.g. Andersen et al. 2014). Anoth”
- Gender Differences in Accepting and Receiving Requests for Tasks with Low Promotability (2017, background): “49 In a set of experimental studies Hossain and Okui (2013) show that the binarized scoring rule secures reported beliefs that are closer to the true probability than those seen under the standard quadratic scoring rule. A similar result is provided by Harrison, Martínez-Correa, and Swarthout (2013,”