Abstract :
I derive the approximate bias and mean squared error of the least squares estimator
of the autoregressive coefficient in a stationary first-order dynamic regression
model, with or without an intercept, under a general error distribution+ It is shown
that the effects of nonnormality on the approximate moments of the least squares
estimator come into play through the skewness and kurtosis coefficients of the
nonnormal error distribution+
