Can the Prediction Market Improve Predictions of COVID-19?
The goal of this study is to better understand how people predict the future risks of the novel Coronavirus (COVID-19).
Specifically, the investigators will ask the following research questions:
- How well do participants predict the future risks of COVID-19?
- Can the predictions be improved by using a prediction market mechanism?
- Does the prediction market reduce people's fear of COVID-19?
研究概览
详细说明
The proposed study is an online experiment. Students enrolled at National University of Singapore are recruited to participate in the study.
Participants will first complete a pre-experiment survey, which contains basic demographic questions. Then, participants will be randomly assigned to one of two conditions: "Survey" and "Prediction Market".
"SURVEY" CONDITION:
Participants in the "Survey" condition are asked 16 prediction questions in a survey format. The questions are of the following format:
"What do you think will be the total cumulative number of cases in Singapore on 8th of June, at 12pm?"
Each question has 5 answer options. Each answer option is a range of outcomes, e.g. "< 28,900", "between 28,900 and 33,899", "between 33,900 and 38,899", "between 38,900 and 43,899", and "> 43,899". Participants are required to enter their perceived likelihood of each answer option in %.
The 16 prediction questions come from the following variations: 4 countries (Mexico, Singapore, Turkey, USA) x 2 outcome measures (cases, deaths) x 2 time periods (8th of June, 6th of July).
Participants have 24 hours to submit their predictions.
After the 24-hour period, participants are requested to fill out a post-experiment survey, which includes questions about their subjective attitudes and fears towards COVID-19.
"PREDICTION MARKET" CONDITION:
For participants in the "Prediction Market" condition, the same 16 prediction questions are presented in the form of prediction markets. The prediction market is a well-established method of eliciting people's predictions. The method is briefly described below.
There are 16 prediction markets, one for each question. Participants are given 100 tokens per market, which can be used to buy "stocks" on possible outcomes. There are 5 possible outcomes per market (identical to the 5 answer options per question in the "Survey" condition).
Each stock (i.e., possible outcome) will have a price that is dynamically determined by the central marketplace, which is a function of real-time demand and supply of the option. If the option is popular, its price will become higher, and vice versa.
Participants can trade at any time, and as many times as they want, during a 24-hour period. Upon closure of the prediction market, participants will be rewarded proportional to the number of shares that they hold on options that later turn out to be true.
The final prices of stocks correspond to the group's predictions of COVID-19.
After the 24-hour period, participants are requested to fill out a post-experiment survey, which includes questions about their subjective attitudes and fears towards COVID-19.
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HYPOTHESES
The prediction market leads to better predictions about COVID-19. The investigators will compare the survey predictions and the prediction-market predictions with the actual realized outcome. The investigators hypothesize that the prediction-market predictions are more accurate than the survey predictions through information aggregation.
The prediction market reduces fear. Fear is measured by participants' responses to subjective attitude questions in the post-experiment survey.
研究类型
注册 (实际的)
阶段
- 不适用
联系人和位置
学习地点
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Singapore、新加坡
- National University of Singapore
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
描述
Inclusion Criteria:
- National University of Singapore students
Exclusion Criteria:
- N/A
学习计划
研究是如何设计的?
设计细节
- 主要用途:其他
- 分配:随机化
- 介入模型:并行分配
- 屏蔽:无(打开标签)
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
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无干预:Control
Participants' COVID-19 predictions are elicited via a survey
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实验性的:Treatment
Participants' COVID-19 predictions are elicited via a prediction market
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Participants "bet" on likely future outcomes using a prediction market
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Predictions of COVID-19 Cases and Deaths
大体时间:24 hours
|
Participants are asked 16 questions of the following format: "What do you think will be the total cumulative number of cases in Singapore on 8th of June, at 12pm?" Each question has 5 answer options. Each answer option is a range of possible outcomes. The primary outcome measure is participants' perceived likelihood of each answer option. The 16 questions come from the following variations: 4 countries (Mexico, Singapore, Turkey, USA) x 2 outcome measures (cases, deaths) x 2 time periods (8th of June, 6th of July). |
24 hours
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Fear
大体时间:24 hours (participants are required to submit post-experiment survey within 24 hours of completion of the main experiment)
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Fear is measured by participants' responses to subjective attitude questions in the post-experiment survey.
The questions are on a 5-point Likert scale.
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24 hours (participants are required to submit post-experiment survey within 24 hours of completion of the main experiment)
|
合作者和调查者
调查人员
- 首席研究员:Teck Ho, PhD、National University of Singapore
出版物和有用的链接
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
其他研究编号
- SG-COVID
计划个人参与者数据 (IPD)
计划共享个人参与者数据 (IPD)?
IPD 计划说明
IPD 共享时间框架
IPD 共享访问标准
IPD 共享支持信息类型
- 研究方案
- 国际碳纤维联合会
- 分析代码
药物和器械信息、研究文件
研究美国 FDA 监管的药品
研究美国 FDA 监管的设备产品
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