The asymptotic normality under the null hypothesis and also under a contiguous alternative is explored for the semi-parametoric method in a multiply matched case-control study in a context of testing statistical hypothesis. The Pitman efficiency of the method is compared with the tests from the classical approach in a framework of a location and scale parameter models. It is shown that the method could lose substantial efficiency when the underlying distribution is normal.