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In the present article, we propose jackknife empirical likelihood (JEL) ratiotest for testing the independence of time to failure and cause of failure incompeting risks data. We use U-statistic theory to derive the JEL ratio test.The asymptotic distribution of the test statistic is shown to be chi-squaredistribution with one degree of freedom. A Monte Carlo simulation study iscarried out to assess the finite sample behaviour of the proposed test. Theperformance of proposed JEL test is compared with the test given in Dewan etal. (2004). Finally we illustrate our test procedure using various real datasets.

JEL ratio test for independence of time to failure and cause of failure in competing risks