Lifetime Data Analysis

, Volume 23, Issue 2, pp 275–304 | Cite as

Gini index estimation for lifetime data



Lifetime data is often right-censored. Recent literature on the Gini index estimation with censored data focuses on independent censoring. However, the censoring mechanism is likely to be dependent censoring in practice. This paper proposes two estimators of the Gini index under independent censoring and covariate-dependent censoring, respectively. The proposed estimators are consistent and asymptotically normal. We also evaluate the performance of our estimators in finite samples through Monte Carlo simulations. Finally, the proposed methods are applied to real data.


Gini index Lifetime data Independent censoring  Covariate-dependent censoring 



The authors are grateful to the Editor, the Associate Editor, two anonymous Referees for their critical and insightful comments, which led to great improvements in the revised manuscript. This work was supported by the National Natural Science Foundation of China (No. 71501159 and 71401112) and the Fundamental Research Funds for the Central Universities (JBK160113).


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.School of International BusinessSouthwestern University of Finance and EconomicsChengduChina
  2. 2.School of Public Policy and ManagementUniversity of Chinese Academy of ScienceBeijingChina
  3. 3.Institute of Policy and ManagementChinese Academy of ScienceBeijingChina
  4. 4.School of EconomicsCapital University of Economics and BusinessBeijingChina

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