Published in Computational Statistics & Data Analysis 27 (1998) pp 291-309. ESTIMATING POPULATION PROPORTIONS FROM IMPUTED DATA

Imputation estimates based on imputed values obtained from neural network models used in an 'impute first-aggregate next' approach, have been computed from Norwegian population census and administrative register data. The imputation estimates were compared with simple unbiased estimates obtained by the traditional 'aggregate first estimate next' approach and found to be superior for estimating proportions in small subgroups. Predictors for predicting the accuracy of such imputation estimates were proposed. Results are promising for estimating small subgroup or area proportions.