This paper aims to study the quantitative significance of lumpy labor adjustment as a propagation mechanism for business cycles. In the baseline model, I introduce lumpy job turnover in the spirit of Taylor (1980) and Calvo (1983) in a DSGE framework and find that it performs as same as the quadratic-adjustment-cost model at the aggregate level, but different at firm’s level. In particular, It can capture lumpy labor adjustment at plant’s level through the ’front-loading effect’. Then I implement the Weibull distribution in the same framework to incorporate the increasing hazards of the labor adjustment process, which is supported by the evidence from micro data. This extension represents a substantial improvement over benchmark models. It ...