This article aims to investigate the dynamic relationship between the change of Taiwan's macroeconomy and the change of total life insurance new business premium income. In this study, we use Vector Autoregression (VAR) and Impulse Response Function (IRF) to model and explain the interesting interdependencies and co-movements among these two variables, according to the relevant quarterly data from 2004 to 2021. We found some evidence that proves the significant relationship between the change of GDP and the change of total life insurance new business premium in that the fourth quarter lagged GDP change has a significant negative impact on the change of total life insurance new business premium. In addition, there may exist annual cyclical effects between these two variables for multivariate economic time series. The empirical results are of important reference value for understanding the historical development trend of Taiwan's life insurance industry and improving the policy formulation.