Bittmann Felix
Leibniz Institute for Educational Trajectories (LIfBi), Wilhelmsplatz 3, 96047 Bamberg, Germany.
J Happiness Stud. 2022;23(7):3315-3330. doi: 10.1007/s10902-022-00542-1. Epub 2022 Jun 21.
While there is plenty of research linking the effects of the global COVID-19 pandemic to a drastic reduction of life satisfaction in the population, there is little information on the functional form of this relationship. Until now, one could suspect that this association is linear and a higher number of COVID-19 infections in a region leads to a continuous decline of satisfaction. However, there are reasons to assume that this interrelation is indeed more complex and deserves further attention. To resolve this question, high-quality panel data of the first wave of COVID-19 from Germany are analysed in a fixed-effect multilevel framework. With information from more than 6,000 respondents (after imputation) nested in 339 federal districts, we estimate linear models with higher-order terms up to the fifth degree of median COVID-19 incidence rates and random intercepts for districts to describe the functional form. The results indicate that even regions with very low incidences are affected and a linear decline of satisfaction is only apparent for rather low incidence levels, quickly reaching a plateau, which is then quite constant, even for higher incidence levels. These findings indicate that at least in rich and industrialized countries like Germany, assuming a strictly linear relation between incidences and change of satisfaction is not appropriate.
虽然有大量研究将全球新冠疫情的影响与民众生活满意度的大幅下降联系起来,但关于这种关系的函数形式的信息却很少。到目前为止,人们可能会怀疑这种关联是线性的,即一个地区新冠病毒感染病例数越多,满意度就会持续下降。然而,有理由认为这种相互关系实际上更为复杂,值得进一步关注。为了解决这个问题,我们在固定效应多级框架下分析了德国第一波新冠疫情的高质量面板数据。利用嵌套在339个联邦区的6000多名受访者(经过插补后)的信息,我们估计了包含高达五次幂的新冠发病率中位数高阶项以及各地区随机截距的线性模型,以描述函数形式。结果表明,即使是发病率非常低的地区也会受到影响,满意度的线性下降仅在发病率相当低的水平时才明显,很快就会达到一个平稳状态,即使在发病率较高的水平时也是如此。这些发现表明,至少在像德国这样富裕和工业化的国家,假设发病率与满意度变化之间存在严格的线性关系是不合适的。