2020
DOI: 10.2139/ssrn.3621833
|View full text |Cite
|
Sign up to set email alerts
|

Belief Elicitation: Limiting Truth Telling with Information on Incentives

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 16 publications
(17 reference statements)
0
1
0
Order By: Relevance
“…interest". Following Danz et al (2020), I do not explain the exact monetary incentive structure in advance to reduce errors in belief elicitation. Instead, I tell them that the precise payment rule details are available by request at the end of the experiment.…”
Section: Iq Testmentioning
confidence: 99%
See 1 more Smart Citation
“…interest". Following Danz et al (2020), I do not explain the exact monetary incentive structure in advance to reduce errors in belief elicitation. Instead, I tell them that the precise payment rule details are available by request at the end of the experiment.…”
Section: Iq Testmentioning
confidence: 99%
“…I incentivize the decision using the binarized scoring rule (Danz et al, 2020;Hossain and Okui, 2013). According to the binarized scoring rule, an individual may earn a fixed payment.…”
Section: Iq Testmentioning
confidence: 99%
“…interest". Following Danz et al (2020), I do not explain the exact monetary incentive structure in advance to reduce errors in belief elicitation. Instead, I tell them that the precise payment rule details are available by request at the end of the experiment.…”
Section: Iq Testmentioning
confidence: 99%
“…I incentivize the decision using the binarized scoring rule (Danz et al, 2020;Hossain and Okui, 2013). According to the binarized scoring rule, an individual may earn a fixed payment.…”
Section: Iq Testmentioning
confidence: 99%
“…The bonus provides sharp and easily understood incentives, as compared to other schemes such as binarized scoring rules, which have been shown to distort truth telling(Danz et al, 2020).…”
mentioning
confidence: 99%