The present studies extend research on generational effects in the workplace using the Hierarchical Age-Period-Cohort (HAPC) model. Using a Monte Carlo simulation, the first study examines how accurate generational effects estimated from cross-sectional data are. The results show that cross-sectional generational effect estimates are usually biased. It also extends methodological research on the HAPC model by demonstrating that the model can be used to estimate fixed generational effects, a fixed time trend effect, fixed generation time period interactions, and fixed generation age interactions. The second study applies the HAPC model to job satisfaction data obtained from the General Social Survey. The results show that employee job satisfaction is affected by their age, time period, and generation.