The U.S. government Behavioral Risk Factor Surveillance (BRFSS) survey is an important source of demographic and health data. As with many surveys, BRFSS has missing data resulting from non-response. Because it is impossible to know the true value of missing data, the accuracy of imputation methods for real missing data cannot be known. To solve this problem, I created artificially missing data for two demographic variables for which the originally missing amounts were relatively small: age and race/ethnicity.
