Abstract Among modern strategies applied to cope with the problems of non-response, in sample surveys, imputation is one of them. Imputation is the filling up method of incomplete data by adapting the standard analytic model in statistics. The purpose of the present work is to study the intelligible use of imputation methods in dealing with non-response at current occasion in two-occasion successive (rotation) sampling. Chain-type regressions in ratio estimators have been proposed for estimating the population mean at current occasion. Expressions for optimum estimators and their mean square errors have been derived. To study the effectiveness of the suggested imputation methods, performances of the proposed estimators are compared in two different situations: with and without non-response. Behaviors of the proposed estimators are demonstrated through empirical studies.