Using the net effect of all relevant regressors omitted from a model to form its error term is incorrect because the coefficients and error term of such a model are non-unique. Non-unique coefficients cannot possess consistent estimators. Uniqueness can be achieved if; instead; one uses certain “sufficient sets” of (relevant) regressors omitted from each model to represent the error term. In this case; the unique coefficient on any non-constant regressor takes the form of the sum of a bias-free component and omitted-regressor biases. Measurement-error bias can also be incorporated into this sum. We show that if our procedures are followed; accurate estimation of bias-free components is possible.
CITATION STYLE
Swamy, P. A. V. B., Mehta, J. S., & Chang, I. L. (2017). Endogeneity, time-varying coefficients, and incorrect vs. Correct ways of specifying the error terms of econometric models. Econometrics, 5(1). https://doi.org/10.3390/econometrics5010008
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