论文标题

使用英国的41,000名参与者预测情绪波动

Predicting Emotional Volatility Using 41,000 Participants in the United Kingdom

论文作者

MacKerron, George, Powdthavee, Nattavudh

论文摘要

情绪波动是人类的普遍性。然而,没有对该现象的预测指标进行大规模的科学研究。本文根据以前的作品建立了临时的作品,基于微小的样本,报告了第一个大规模估计人类情感体验中波动率的估计。我们的研究借鉴了41,023个英国个人的三百万观察结果,从超过300万观察到的瞬间幸福感中汲取了巨大的瞬间幸福感。保持其他事情不断,我们表明,有孩子,穷人和年轻人的女性中的情绪波动最高。没有孩子的妇女报告的情绪波动比有和没有孩子的男人要大得多。对于任何给定的波动率,有孩子的女性也比任何其他社会人口统计学组都经历更频繁的极端情绪低谷。我们的结果对不同的规范测试是可靠的,使研究人员和政策制定者能够量化和优先级的人类情绪内变异性不同决定因素。

Emotional volatility is a human universal. Yet there has been no large-scale scientific study of predictors of that phenomenon. Building from previous works, which had been ad hoc and based on tiny samples, this paper reports the first large-scale estimation of volatility in human emotional experiences. Our study draws from a large sample of intrapersonal variation in moment-to-moment happiness from over three million observations by 41,023 UK individuals. Holding other things constant, we show that emotional volatility is highest among women with children, the separated, the poor, and the young. Women without children report substantially greater emotional volatility than men with and without children. For any given rate of volatility, women with children also experience more frequent extreme emotional lows than any other socio-demographic group. Our results, which are robust to different specification tests, enable researchers and policymakers to quantify and prioritise different determinants of intrapersonal variability in human emotions.

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