This　paper　studies　the　empirical　likelihood　inferences　for　a　class　of　semiparametric　instrumental　variable　models.　We　focus　on　the　case　that　some　covariates　are　endogenous　variables,　and　some　auxiliary　instrumental　variables　are　available.　An　instrumental　variable　based　empirical　likelihood　method　is　proposed,　and　it　is　shown　that　the　proposed　empirical　log-likelihood　ratio　is　asymptotically　chi-squared.　Then,　the　confidence　intervals　for　the　regression　coefficients　are　constructed.　Some　simulation　studies　are　undertaken　to　assess　the　finite　sample　performance　of　the　proposed　empirical　likelihood　procedure.　©　2013　Korean　Society　for　Computational　and　Applied　Mathematics.