Balanced Imputation for Swiss Cheese Nonresponse

Swiss cheese nonresponse refers to the case where all the variables can contain missing values in a general pattern even if this wording is abuse since most of the Swiss cheeses do not have holes. However, in the case of Swiss cheese nonresponse, it is not possible to consider that some variables are known for every units and can thus be used as auxiliary variables. We propose a new technique of random donor imputation. The method is based on the establishment of consistency principles. A nonrespondent and its donor should be close to each other. The same donor must be used for all missing variables of a unit. Moreover we impose that, if we were imputing the known variables of a nonrespondent by the values of the donor, the totals of these variables must remain the same. The procedure is based on the calculation of imputation probabilities. Next, the donors are selected randomly in such a way that the constraints are satisfied.

, 2017 Annual Meeting of the Canadian Statistical Society, Winnipeg, Canada