This paper proposes new nonparametric tests for treatment eects when the out- come of interest, typically a duration, is subjected to right censoring. Our tests are based on Kaplan-Meier integrals, and do not rely on distributional assumptions, shape restrictions, nor on restricting the potential treatment eect heterogeneity across dif- ferent subpopulations. The proposed tests are consistent against xed alternatives and can detect nonparametric alternatives converging to the null at the parametric n????1=2-rate, n being the sample size. Finite sample properties of the proposed tests are examined by means of a Monte Carlo study. We illustrate the use of the proposed pol- icy evaluation tools by studying the eect of labor market programs on unemployment duration based on experimental and observational datasets.