Stein-rule least squares estimation: a heuristic for fallible data

For fallible data, 'errors-in-variables', a Steinian estimation of the independent variable yields a consistent and potentially unbiased estimator of the regression coefficient. This estimator suggests a heuristic for economic research and is illustrated by the permanent income hypothesis.