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The ability to correct the bias in the stable AD(1,1) model with a feedback effect

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  • van Giersbergen, Noud P.A.

Abstract

The behavior of a bias-corrected (BC) estimator assuming strongly exogenous regressors is compared to the behavior of a BC estimator assuming weakly exogenous regressors, when in fact the marginal model contains a feedback mechanism. To this end, the effect of a feedback mechanism on the first-order least-squares coefficient estimation bias is examined through large-sample asymptotics in the stable AD(1,1) model. In the simulations, it appears that the valid BC estimator based on the whole system is less biased than the invalid BC estimator based on the conditional model only. Substantial efficiency gains are possible for parts of the parameter space that determine the feedback effect, although the picture is less clear when results are averaged over the whole parameter space.

Suggested Citation

  • van Giersbergen, Noud P.A., 2016. "The ability to correct the bias in the stable AD(1,1) model with a feedback effect," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 186-204.
    • Handle: RePEc:eee:csdana:v:100:y:2016:i:c:p:186-204
    DOI: 10.1016/j.csda.2015.04.007
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    References listed on IDEAS

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    1. van Giersbergen, Noud P.A., 2005. "On the effect of deterministic terms on the bias in stable AR models," Economics Letters, Elsevier, vol. 89(1), pages 75-82, October.
    2. Kiviet, Jan F. & Phillips, Garry D.A., 2012. "Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3705-3729.
    3. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693, November.
    4. Grubb, David & Symons, James, 1987. "Bias in Regressions With a Lagged Dependent Variable," Econometric Theory, Cambridge University Press, vol. 3(3), pages 371-386, June.
    5. Broda, Simon & Carstensen, Kai & Paolella, Marc S., 2007. "Bias-adjusted estimation in the ARX(1) model," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3355-3367, April.
    6. van Giersbergen, Noud P A & Kiviet, Jan F, 1996. "Bootstrapping a Stable AD Model: Weak vs Strong Exogeneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 631-656, November.
    7. David F. Hendry, 2013. "Econometric Modelling: The ‘Consumption Function’ In Retrospect," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(5), pages 495-522, November.
    8. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100, Elsevier.
    9. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    10. Kiviet, Jan F. & Phillips, Garry D.A., 1993. "Alternative Bias Approximations in Regressions with a Lagged-Dependent Variable," Econometric Theory, Cambridge University Press, vol. 9(1), pages 62-80, January.
    11. repec:lmu:muenar:20113 is not listed on IDEAS
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