薪資軌跡與人力資本溢酬的年齡、時代與世代效果分析: 多層次縱貫模式與結構方程模式取向的應用

Pay structure is one of the major topic in human resource management research and practices. In terms of earning function, wage variation exists between individuals, at the same time, a particular profile indicates the trajectory of wage changed within individuals. The changes of wage may be affected by the age, period, and cohort at the same time, along with the factors of human capitals. This study selected 5851 Taiwanese adults with age from 25 to 65, acquired 32816 observation from the Panel Study of Family Dynamics dataset at the 1999 to 2016 period. To figure out the mechanism of wage profile and dispersion affected by APC variables, this study created a series of multilevel models to fit the panel data. Results revealed that the age and period variable have the curve wage trajectory. The cohort effect with wage change, however, revealed a curve relationship while the model only included cohort variable alone. After taken age and period into account, cohort effect of wage was not statistically significant. Gender as well as educational year can significantly predict wage trajectory, as the same findings for work hour per week. Beside the benefit of applying advanced statistical modeling for solving the APC issue, the major contribution of the present study is to utilize the existing secondary dataset and to provide constructive findings about wage change overtime for applications of human resource management in practice.