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Does time inconsistency differ between gain and loss? An intra-personal comparison using a non-parametric elicitation method

机译:在增益和损失之间存在不一致的时间不一致吗?使用非参数化诱导方法进行个人比较

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Several studies on time preference have found time inconsistency in both gain and loss preferences. However, the relationship between the two within the same person remains unclear; that is, does an individual who demonstrates time inconsistency for gain outcomes do so for losses as well? This paper reports on individuals' time inconsistency for gains and losses in a laboratory setting. To obtain a precise comparison of individuals' time inconsistency for gains and losses, we used Rohde's "DI (decreasing impatience)-index" (Manag Sci 65(4):1700-1716, 2018) and measured the level of time inconsistency, rather than merely identifying whether TI was present. This index represents how strongly a person exhibits present bias, and easily extends to the comparison between gain and loss preferences within the same person. Further, it allows the experiment to test for so-called future bias, which has been a focus area in recent time inconsistency literature. It is elicited through a non-parametric method, which avoids any specification errors in the analysis. Our findings are as follows: first, we found future bias in preferences for not only gains but also losses, and we confirmed that this tendency is consistent with previous findings on preferences for gains. Second, a positive correlation between time inconsistency for gains and losses was found at the individual level. Indeed, we could not find a significant difference between the two in most cases.
机译:有关时间偏好的几项研究发现,增益和损失偏好中的时间不一致。但是,同一个人内的两个人之间的关系仍然不清楚;也就是说,表现出损失的时间不一致的个人也是如此损失?本文报告了实验室环境中收益和损失的个人不一致。为了获得具体比较个人的收益和损失的时间不一致,我们使用了rohde的“di(减少急促)-index”(Manag SCI 65(4):1700-1716,2018)并测量了不一致的时间水平而不是识别TI是否存在。该索引代表了一个人表现出存在的偏差有多强,并且很容易扩展到同一个人内的增益和损失偏好之间的比较。此外,它允许实验测试所谓的未来偏差,这是近期不一致文学中的焦点区域。它通过非参数方法引发,避免了分析中的任何规范错误。我们的研究结果如下:首先,我们发现未来的偏差是偏好,不仅增加了偏差,而且还损失,我们证实这种趋势与以前的收益偏好发现一致。其次,在个人层面发现了收益和损失之间的时间不一致的正相关性。实际上,在大多数情况下,我们在两者之间找不到显着差异。

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