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Estimation of Parameters in the Presence of Model misspecification and Measurement Error

  • P.A.V.B. Swamy
  • George S. Tavlas
  • Stephen G. Hall

    ()

  • George Hondroyiannis

Misspecifications of econometric models can lead to biased coefficients and error terms, which in turn can lead to incorrect inference and incorrect models. There are specific techniques such as instrumental variables which attempt to deal with some individual forms of model misspecification. However these can typically only address one problem at a time. This paper proposes a general method for estimating underlying parameters in the presence of a range of unknown 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 a misspecified functional form, measurement error and omitted variables.

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File URL: http://www.le.ac.uk/economics/research/RePEc/lec/leecon/dp08-27.pdf
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Paper provided by Department of Economics, University of Leicester in its series Discussion Papers in Economics with number 08/27.

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Date of creation: Aug 2008
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Handle: RePEc:lec:leecon:08/27
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