Endogeneity, time-varying coefficients, and incorrect vs. Correct ways of specifying the error terms of econometric models

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free