  This paper derives the efficiency bound for estimating the parameters of
dynamic panel data models in the presence of an increasing number of incidental
parameters. We study the efficiency problem by formulating the dynamic panel as
a simultaneous equations system, and show that the quasi-maximum likelihood
estimator (QMLE) applied to the system achieves the efficiency bound.
Comparison of QMLE with fixed effects estimators is made.
