## Quick Reference

For an estimator *X* of a parameter *θ*, the mean squared error is equal to *E*(*X*−*θ*)^{2}). For an unbiased estimator this equals Var(*X*) (see expected value and variance).

*Subjects:*
Economics — Mathematics.

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