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Assessing elicitation task bias in time preference using experiments with artificial subjects

机译:使用人工受试者的实验评估时间偏好中的启发任务偏差

摘要

Experimental results in research on time preference are often controversial. We propose a systematic investigation of choice task in multiple price list format (MPL) that is frequently implemented in experiments on time preference, through a computer simulation analysis. We conduct experiments with artificial subjects to demonstrate that elicited discount rates are highly dependent on the structure of elicitation task. We verify that implementation of choice task in MPL with nominal structure results in observation of hyperbolic discounting. Choice task in MPL with interest rates structure leads to elicitation of discount rates compatible with exponential discounting. Moreover, we show that the magnitude and intensity of corresponding pattern in data depends on the internal structure of elicitation task. Comparison between discount rates elicited with artificial and human subjects suggests that behavior of human subjects in experiments with MPL can be described by two simple rules: positive discounting and anchoring.
机译:关于时间偏好的研究中的实验结果经常引起争议。我们提出了一种对多种价格表格式(MPL)的选择任务进行系统的调查,这种选择通常通过计算机模拟分析在时间偏好性实验中得以实施。我们对人工受试者进行了实验,以证明引诱的折扣率高度依赖于引诱任务的结构。我们验证在具有名义结构的MPL中执行选择任务会导致双曲线贴现的观察。具有利率结构的MPL中的选择任务导致得出与指数折扣兼容的折扣率。此外,我们表明数据中相应模式的大小和强度取决于启发任务的内部结构。人工和人类受试者引起的折现率之间的比较表明,MPL实验中人类受试者的行为可以通过两个简单的规则来描述:正折现和锚定。

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