Comparison of accuracy between LC model and 4-PFM when COVID-19 impacts mortality structure

This paper studies if the accuracies of mortality models (LC model vs. 4-parametric model) are aggravated a structure changes due to impact COVID-19. LC (LCM) uses dimension reduction for fitting log matrix so that performance method may not be good when changes. On other hand, factor (4-PFM) is designed use factors data by age groups it would less affected change structure. In fact, forecast LCM better than those 4-PFM life-tables used whereas Thus this result shows more reliable in structural mortality. To support accuracy functional aspect explained computing eigenvalues produced singular vector decomposition