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Estimation for the Nonlinear Errors-in-Variables Model

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Econometrics in Theory and Practice
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Summary

An estimator for the parameters of the nonlinear errors-in-variables model with smaller bias than that of the functional maximum likelihood estimator is presented. The estimator is a least squares estimator with an internal Monte Carlo adjustment for bias.

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References

  1. Amemiya, Y. and Puller, W. A. (1988). Estimation for the nonlinear functional relationship. Ann. Statist, 16, 147–160.

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© 1998 Physica-Verlag Heidelberg

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Fuller, W.A. (1998). Estimation for the Nonlinear Errors-in-Variables Model. In: Galata, R., Küchenhoff, H. (eds) Econometrics in Theory and Practice. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-47027-1_2

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  • DOI: https://doi.org/10.1007/978-3-642-47027-1_2

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-642-47029-5

  • Online ISBN: 978-3-642-47027-1

  • eBook Packages: Springer Book Archive

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