你会谎报母亲的生日吗?一项新的网上不诚实实验

IF 1.6 3区 经济学 Q2 ECONOMICS
Victor von Loessl , Christoph Bühren , Björn Frank , Heike Wetzel , Elina Wiederhold
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引用次数: 0

摘要

我们要求一个具有代表性的德国家庭决策者样本输入其母亲的生日,并根据他们填写的月份和日期支付可能的报酬。因此,我们创造了一种撒谎的动机。与 "杯底死亡 "实验相比,我们的替代方案的收入最大化结果为真的概率更低。此外,它更适合在线调查和赌博被社会鄙视的样本。我们对这个游戏进行了不同的变体,以便为对我们的工具感兴趣的研究人员提供设计建议。参与者谎称能得到更高的回报,但只有在真正的金钱激励下才能做到,而且幅度相对较小。我们的结果在很大程度上对我们所改变的几个设计元素并不敏感,例如获得报酬的概率和报酬的大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Would you lie about your mother's birthday? A new online dishonesty experiment

We ask a representative sample of German household decision-makers to enter their mother's birthday, with potential payments depending on the month and the day they state. Thus, we create an incentive to lie. Compared to the die-under-the-cup experiment, our alternative has a lower probability that the income-maximizing outcome is true. Furthermore, it is better suited for online surveys and samples in which gambling is socially stigmatized. We conduct different variations of this game to crystalize design recommendations for researchers interested in our tool. Participants lied to receive higher payoffs, but only with real monetary incentives and only to a relatively small extent. Our results are largely insensitive to several design elements that we vary, such as the probability of being paid and the magnitude of the payoffs.

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来源期刊
CiteScore
2.60
自引率
12.50%
发文量
113
审稿时长
83 days
期刊介绍: The Journal of Behavioral and Experimental Economics (formerly the Journal of Socio-Economics) welcomes submissions that deal with various economic topics but also involve issues that are related to other social sciences, especially psychology, or use experimental methods of inquiry. Thus, contributions in behavioral economics, experimental economics, economic psychology, and judgment and decision making are especially welcome. The journal is open to different research methodologies, as long as they are relevant to the topic and employed rigorously. Possible methodologies include, for example, experiments, surveys, empirical work, theoretical models, meta-analyses, case studies, and simulation-based analyses. Literature reviews that integrate findings from many studies are also welcome, but they should synthesize the literature in a useful manner and provide substantial contribution beyond what the reader could get by simply reading the abstracts of the cited papers. In empirical work, it is important that the results are not only statistically significant but also economically significant. A high contribution-to-length ratio is expected from published articles and therefore papers should not be unnecessarily long, and short articles are welcome. Articles should be written in a manner that is intelligible to our generalist readership. Book reviews are generally solicited but occasionally unsolicited reviews will also be published. Contact the Book Review Editor for related inquiries.
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