The basic premise of this paper is that understanding aggregate dynami
cs requires considering that agents are heterogeneous and that they do
not adjust continuously to the shocks they perceive. We provide a gen
eral characterization of lumpy behavior at the microeconomic level in
terms of an adjustment-hazard function, which relates the probability
that a unit adjusts to the deviation of its state variable from its mo
ving target. We characterize rich, cross-sectionally dependent aggrega
te dynamics generated by nonconstant hazards. We present an example ba
sed on U. S. manufacturing employment and job flows, and find that inc
reasing-hazard models outperform constant-hazard-partial-adjustment mo
dels in describing aggregate employment dynamics.