Estimating the parameters of the binomial autoregressive process of order one

The main objective of this paper is to compare various methods of estimation for the parameters of the first-order Binomial Autoregressive Process. The small sample performance of the Yule-Walker method, conditional least squares (CLS), Gaussian estimation and the generalized moments method (GMM) are studied. A simulation study is presented to compare the performance of these methods.