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Trajectories of life satisfaction: Positive feedback loops may explain why life satisfaction changes in multi-year waves, rather than oscillating around a set-point

机译:生活满意度的轨迹:积极的反馈循环可以解释为什么生活满意度会在多年波动中发生变化,而不是在设定点附近振荡

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摘要

Long term panel data enable researchers to construct Life Satisfaction (LS) trajectories for individuals over time. In this paper we analyse the trajectories of respondents in the German Socio-Economic Panel who recorded their LS for 20 consecutive years in 1991 - 2010. Previous research has shown that at least a quarter of these respondents recorded substantial long term changes in LS (Headey, Muffels and Wagner, 2010, 2012). In this paper, bar charts of LS trajectories, and subsequent statistical analysis, show that respondents tend to spend multiple consecutive years either above and/or below their own 20-year mean level of LS. These results are contrary to set-point theory which views LS as stable, exceptfor short term fluctuations due to major life events. In the later part of the paper we attempt to explain multi-year/medium term changes in LS. We estimate structural equation models with two-way causation between LS and variables usually treated as causes of LS, including health, frequency of physical exercise, frequency of social activities/social participation, and satisfaction with work and leisure. The results are interpreted as showing positive feedback loops between these variables and LS, such that gains and losses of LS tend to be reinforced over time. The models are based on a modified concept of "Granger-causation" (Granger, 1969). The main intuition behind Granger-causation is that if x can be shown to be statistically significantly related to y in a model which includes multiple lags of y, then it can be inferred that x is one cause of y.
机译:长期面板数据使研究人员能够随着时间的推移为个人构建生活满意度(LS)轨迹。在本文中,我们分析了德国社会经济专家小组在1991年至2010年连续20年记录其LS的受访者的轨迹。以前的研究表明,至少有四分之一的受访者记录了LS的长期变化(Headey) ,Muffels和Wagner,2010年,2012年)。在本文中,LS轨迹的条形图以及随后的统计分析表明,受访者倾向于连续花费超过或低于其自身20年LS平均水平的多个年份。这些结果与设定点理论相反,设定点理论认为LS是稳定的,除了主要生命事件引起的短期波动。在本文的后半部分,我们试图解释LS中多年/中期术语的变化。我们估计结构方程模型,并且在LS和通常被视为LS原因的变量之间具有双向因果关系,这些变量包括健康,体育锻炼的频率,社交活动/社交参与的频率以及对工作和休闲的满意度。结果被解释为显示了这些变量和LS之间的正反馈回路,因此LS的收益和损失往往会随着时间而增强。这些模型基于“ Granger因果关系”的修正概念(Granger,1969年)。 Granger因果关系的主要直觉是,如果在包含y的多个滞后的模型中可以证明x与y在统计上显着相关,则可以推断x是y的一个原因。

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