the dataset for Forward-looking belief elicitation enhances intergenerational beneficence

Decision: 1 - no contribution; 2 - contribution.

forecast: 0-4, predicted number of contributions

forecast_answerKey: correct answers based on simulation, according to which the correctness bonus was granted

Treatment: “post” – Forecast After; “pre” – Forecast Before; “preNP” – Forecast Before without Incentives

endowment FALSE, endowment =50c; TRUE, endowment=70c

history info on history sequence, being one of the following six values: BBB, BBBA, AAAB, AAA, B, A

Reason Please indicate how well each of the reasons below explains the decision of how much to contribute to the next player’s stake that you made
Reason1 How relevant is “the decision of the previous participant” with your decision to contribute
Reason2 How relevant is “doing what is the fair thing to do” with your decision to contribute
Reason3 How relevant is “the fact that the next participant gains more than I contribute” with your decision to contribute

Altruism1 How would you assess your willingness to share with others without expecting anything in return, for example, your willingness to give to charity?
Altruism2 Today you unexpectedly received 1000 dollars. How much of this amount would you donate to charity?
Altruism3 I do not understand why people spend their lifetime fighting for a cause that is not directly beneficial for them.

Other demographic variables include: "female" - gender, "age", "marital" - marital status, "children" - number of children, "education" - educational attainment, "wage" - income.

决策：1 - 无贡献；2 - 贡献。预测：0-4，预测的贡献数量。
预测答案键：基于模拟的正确答案，据此授予正确性奖金。
处理：
“post” - 预测之后；
“pre” - 预测之前；
“preNP” - 没有激励的预测之前。
赠予：FALSE，赠予 = 50c；TRUE，赠予 = 70c。
历史：关于历史序列的信息，以下六个值之一：BBB，BBBA，AAAB，AAA，B，A。
理由：请说明以下理由如何解释您对下一参与者投资额贡献决策的合理性。
理由1：前一位参与者的决策与您的决策贡献的相关性。
理由2：公平行事与您的决策贡献的相关性。
理由3：下一参与者获得的比您贡献的多的事实与您的决策贡献的相关性。
利他主义1：您如何评价自己无私与他人分享的意愿，例如，您对慈善事业的捐赠意愿？
利他主义2：今天您意外收到了1000美元。您会捐赠其中多少金额给慈善事业？
利他主义3：我不理解为什么人们会花费一生为对他们没有直接益处的事业而奋斗。
其他人口统计变量包括：
“female” - 性别；
“age” - 年龄；
“marital” - 婚姻状况；
“children” - 子女数量；
“education” - 教育程度；
“wage” - 收入。