New study reveals how missing variables impact accuracy of economic models.
The article explores how to estimate equations in a model with missing information. It looks at different ways to estimate these equations, including ordinary least squares. The researchers found conditions where ordinary least squares is the best estimator. They also considered cases with three or more variables and used a method called stochastic approximations to calculate the estimators' accuracy.