  Under suitable conditions, one-step generalized method of moments (GMM) based
on the first-difference (FD) transformation is numerically equal to one-step
GMM based on the forward orthogonal deviations (FOD) transformation. However,
when the number of time periods ($T$) is not small, the FOD transformation
requires less computational work. This paper shows that the computational
complexity of the FD and FOD transformations increases with the number of
individuals ($N$) linearly, but the computational complexity of the FOD
transformation increases with $T$ at the rate $T^{4}$ increases, while the
computational complexity of the FD transformation increases at the rate $T^{6}$
increases. Simulations illustrate that calculations exploiting the FOD
transformation are performed orders of magnitude faster than those using the FD
transformation. The results in the paper indicate that, when one-step GMM based
on the FD and FOD transformations are the same, Monte Carlo experiments can be
conducted much faster if the FOD version of the estimator is used.
