All of the following are potential problems associated with missing data except
A)dropping observations with missing data will bias the estimated coefficients if the missing data is due to selection bias.
B)the number of observations goes down.
C)dropping the independent variables that have missing data will typically bias the estimated coefficients.
D)missing data always increases the estimated standard errors.

Question

Quizplus · Accepted Answer

Missing data does not always increase the estimated standard errors. The impact of missing data on standard errors depends on how the missing data is handled and which estimation method is used. In some cases, imputing or replacing missing values may actually decrease standard errors. Therefore, option D is the only statement that is not a potential problem associated with missing data.

All of the Following Are Potential Problems Associated with Missing