Estimation of Parameters in the Presence of Model Misspecification and Measurement Error
AbstractMisspecifications of econometric models can lead to biased coefficients and incorrect interpretations of error terms, which in turn can lead to incorrectly estimated models and incorrect inference. There are specific techniques such as instrumental variables, which are used in the economics literature to deal with some individual forms of model misspecification, only addressing one problem at a time. The joint and separate solutions to the problems of unknown functional forms, omitted variables and measurement errors, discussed in this paper, prove that instrumental variables do not exist. Therefore, the specific techniques used in the literature are not feasible. This paper proposes a general method for estimating underlying parameters in the presence of a range of model misspecifications. It is argued that this method can consistently estimate the direct effect of an independent variable on a dependent variable with all of its other determinants held constant even in the presence of an unknown functional form, measurement error and omitted variables.
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Bibliographic InfoArticle provided by De Gruyter in its journal Studies in Nonlinear Dynamics & Econometrics.
Volume (Year): 14 (2010)
Issue (Month): 3 (May)
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Other versions of this item:
- P.A.V.B. Swamy & George S. Tavlas & Stephen G. Hall & George Hondroyiannis, 2008. "Estimation of Parameters in the Presence of Model misspecification and Measurement Error," Discussion Papers in Economics 08/27, Department of Economics, University of Leicester.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
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- Stephen Hall & George Hondroyiannis & P. Swamy & George Tavlas, 2010. "The Fisher Effect Puzzle: A Case of Non-Linear Relationship?," Open Economies Review, Springer, vol. 21(1), pages 91-103, February.
- Stephen Hall & P.A.V.B. Swamy & George S. Tavlas, 2012.
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- Stephen G. Hall & P.A.V.B. Swamy & George S. Tavlas, 2012. "Milton Friedman, the demand for money, and the ECB’s monetary policy strategy," Review, Federal Reserve Bank of St. Louis, issue May, pages 153-186.
- P. Swamy & Stephen Hall, 2012. "Measurement of causal effects," Economic Change and Restructuring, Springer, vol. 45(1), pages 3-23, February.
- Stephen Hall & George Hondroyiannis & Amangeldi Kenjegaliev & P.A.V.B. Swamy & George S. Tavlas, 2013.
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- Hall, Stephen G. & Hondroyiannis, George & Kenjegaliev, Amangeldi & Swamy, P.A.V.B. & Tavlas, George S., 2013. "Is the relationship between prices and exchange rates homogeneous?," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 411-438.
- Hall, Stephen G. & Kenjegaliev, Amangeldi & Swamy, P.A.V.B. & Tavlas, George S., 2013.
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- Stephen Hall & Amangeldi Kenjegaliev & P.A.V.B. Swamy & George S. Tavlas, 2013. "Measuring Currency Pressures: The Cases of the Japanese Yen, the Chinese Yuan, and the U.K. Pound," Discussion Papers in Economics 13/10, Department of Economics, University of Leicester.
- Peter Smith, 2010. "Discussion of the Fisher Effect Puzzle: A Case of Non-Linear Relationship," Open Economies Review, Springer, vol. 21(1), pages 105-108, February.
- Stephen Hall & P. Swamy & George Tavlas, 2012.
"Generalized cointegration: a new concept with an application to health expenditure and health outcomes,"
Springer, vol. 42(2), pages 603-618, April.
- Stephen Hall & P. A. V. B. Swamy & George S. Tavlas, 2011. "Generalized Cointegration: A New Concept with an Application to Health Expenditure and Health Outcomes," Discussion Papers in Economics 11/22, Department of Economics, University of Leicester.
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