The MI Procedure

Multiple Imputation Efficiency

The relative efficiency (RE) of using the finite m imputation estimator, rather than using an infinite number for the fully efficient imputation, in units of variance, is approximately a function of m and lamda (Rubin 1987, p. 114):

normal upper R normal upper E equals left-parenthesis 1 plus StartFraction lamda Over m EndFraction right-parenthesis Superscript negative 1

where mis the number of imputations and lamda is the fraction of missing information.

Table 7 shows relative efficiencies with different values of m and lamda.

Table 7: Relative Efficiencies

bold-italic lamda
m 10% 20% 30% 50% 70%
3 0.9677 0.9375 0.9091 0.8571 0.8108
5 0.9804 0.9615 0.9434 0.9091 0.8772
10 0.9901 0.9804 0.9709 0.9524 0.9346
20 0.9950 0.9901 0.9852 0.9756 0.9662


The table shows that if the fraction of missing information is modest, only a small number of imputations are needed. For example, if lamda equals 0.3, only three imputations are needed to have a 91% efficiency and five imputations are needed to have a 94% efficiency.

Last updated: December 09, 2022