How much of lifetime earnings inequality comes from differences in hours worked?
Core argument: A calibrated heterogeneous agent model of labor supply and human capital accumulation, using NLSY79 data, implies that almost 20% of the variance in lifetime earnings is accounted for by differences in lifetime hours of work.
We document large differences in lifetime hours of work using data from the NLSY79 and argue that these differences are an important source of inequality in lifetime earnings. To establish this we develop and calibrate a rich heterogeneous agent model of labor supply and human capital accumulation that allows for heterogeneity in preferences for work, initial human capital andlearning ability, as well as idiosyncratic shocks to human capital throughout the life-cycle. Our calibrated model implies that almost 20% of the variance in lifetime earnings is accounted for by differences in lifetime hours of work, with 90% of this effect due to heterogeneity in preferences. Higher lifetime hours contribute to lifetime earnings via two channels: a direct channel (more hours spent in production at given productivity) and a human capital channel (more hours spent investing in human capital, which increases future productivity). Between a third and a half of the effect of lifetime hours on lifetime earnings is due to the human capital channel. Our model implies that policies that limit long hours have important effects on both the mean and variance of lifetime earnings.



