A complete cases estimator is an estimator that uses: only observations with a complete set of data on y and x₁, ..., x_k A)only observations with a complete set of data on x₁, ..., xk. B)complete information about the residuals. C)only observations with a complete set of data on y and x₁, ..., xk. D)complete information about the outliers.

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Quizplus · Accepted Answer

A complete cases estimator uses only observations with a complete set of data on both the dependent variable (y) and the independent variables (x₁, ..., xk). This means that any observations with missing data on either y or any of the independent variables are not used in the analysis. This can result in a smaller sample size and potential bias if the missing data are not missing completely at random (MCAR). However, it can also lead to less biased estimates because it reduces the risk of introducing bias through imputation of missing values.

A Complete Cases Estimator Is an Estimator That Uses: Only