Brüderl Josef, Kratz Fabian, Bauer Gerrit
Sociology Department, University of Munich (LMU), Germany.
Sociology Department, University of Munich (LMU), Germany.
Adv Life Course Res. 2019 Sep;41:100247. doi: 10.1016/j.alcr.2018.09.003. Epub 2018 Sep 28.
Panel data are increasingly used in life course research. However, such data would be under-analyzed if only classical methods of life course research (i.e., event-history analysis and sequence analysis) would be used for analyzing them. Methods developed for the analysis of panel data have been shown to be valuable to life course research as well. In this article we emphasize that growth curve modeling and fixed effects regression in particular can supplement the life course research toolbox. In order to demonstrate this, we provide an illustrative panel data analysis using data from the German Socio-Economic Panel from the years 1984-2014 in combination with a classical sociological research question on the reproduction of social inequality. Reinterpreted within the life course framework, we ask: Is there a well-being differential over the life course between people from different social origins? If yes, what is the mediating role of unemployment? Results show that higher social origin indeed relates to higher well-being, and that the well-being differential increases with age. Further, unemployment plays no significant role in mediating origin-specific effects of age on well-being.
面板数据在生命历程研究中的应用日益广泛。然而，如果仅使用生命历程研究的经典方法（即事件史分析和序列分析）来分析此类数据，那么这些数据将得不到充分分析。为面板数据分析开发的方法也已证明对生命历程研究具有重要价值。在本文中，我们强调，特别是增长曲线建模和固定效应回归可以补充生命历程研究的工具箱。为了证明这一点，我们结合一个关于社会不平等再生产的经典社会学研究问题，使用1984年至2014年德国社会经济面板数据进行了一个说明性的面板数据分析。在生命历程框架内重新解释后，我们提出问题：不同社会出身的人在整个生命历程中是否存在幸福感差异？如果是，失业的中介作用是什么？结果表明，较高的社会出身确实与较高的幸福感相关，并且幸福感差异随年龄增长而增加。此外，失业在调节年龄对幸福感的特定出身影响方面没有显著作用。
