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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 339))

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Abstract

Having formulated the econometric model with errors in the variables in state-space, according to the following:

$$ {{x}_{t+1}}=\Phi {{x}_{t}}+\Gamma {{u}_{t}}+E{{w}_{t}} $$
(4.1)
$$ {{z}_{t}}=H{{x}_{t}}+D{{u}_{t}}+C{{v}_{t}} $$
(4.2)

with

$$ E\left[ {{w}_{t}} \right]=0,\,E\left[ {{v}_{t}} \right]=0 $$
$$E\left[ {\left[ {\begin{array}{*{20}c} {w_{t_1 } } \\ {v_{t_1 } } \\ \end{array} } \right]\left[ {w'_{t_2 } \,v'_{t_2 } } \right]} \right] = \left[ {\begin{array}{*{20}c} {Q\,} & S \\ {S'} & {\,R} \\ \end{array} } \right]\delta _{t_1 t_2 }$$

we shall go on to estimate the vector θ, containing p parameters, in which we shall include all the unknown elements within the following matrices: Φ, Γ, E, H, D, C, Q, R and S. Recall that vectors x t, u t and z t have dimensions n, r, and m, respectively.

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© 1990 Springer-Verlag Berlin Heidelberg

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Lomba, J.T. (1990). Estimation of Econometric Models with Measurement Errors. In: Estimation of Dynamic Econometric Models with Errors in Variables. Lecture Notes in Economics and Mathematical Systems, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48810-8_4

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  • DOI: https://doi.org/10.1007/978-3-642-48810-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52358-1

  • Online ISBN: 978-3-642-48810-8

  • eBook Packages: Springer Book Archive

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