In this paper, we propose the jackknife estimator and the bootstrap estimator of Gini index of the two-parameter exponential distribution when the location parameter $ heta$ is unknown and the scale parameter $sigma$is known. Sinilarly, we propose the bias location parameter $ heta$ and the scale parameter $sigma$ are unknown. The bootstrap estimator is more efficient than the other estimators when the location parameter $ heta$is unknown and the scale parameter $sigma$ is known, and the bias corrected estimator is more efficient than the MLE when both the location parameter $ heta$ and the scale parameter $sigma$are unknown.