Empirical Likelihood in Partial Linear Model under -Dependent Errors

In this paper, the empirical likelihood method is extended to partial linear models with fixed designs under -dependent errors. We show that not the usual empirical likelihood but the blockwise empirical likelihood works in this situation, and the blockwise empirical log-likelihood ratio is asymptotically chi-squared distributed. A simulation study is reported to show its efficiency.