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Biased Estimation in a Simple Extension of a Standard Error Correction Model

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  • Christian Müller-Kademann

Abstract

This paper considers an expectations augmented version of the Engle and Granger (1987) error correction model and shows that standard inference about the adjustment coefficients can be severely biased. This has implications for long–run causality and impulse–response analysis in particular. However, a sometimes simple remedy exists which only requires some additional regressions. The results are illustrated using U.S., German and Swiss data.

Suggested Citation

  • Christian Müller-Kademann, 2009. "Biased Estimation in a Simple Extension of a Standard Error Correction Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(I), pages 37-60, March.
  • Handle: RePEc:ses:arsjes:2009-i-2
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    References listed on IDEAS

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    1. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
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    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Ericsson, Neil R., 1992. "Cointegration, exogeneity, and policy analysis: An overview," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 251-280, June.
    5. Juselius, Katarina, 1996. "An Empirical Analysis of the Changing Role of the German Bundesbank after 1983," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 791-819, November.
    6. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    7. Juselius, Katarina & MacDonald, Ronald, 2004. "International parity relationships between the USA and Japan," Japan and the World Economy, Elsevier, vol. 16(1), pages 17-34, January.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
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    11. L Tkepohl, Helmut & Wolters, J Rgen, 2003. "Transmission Of German Monetary Policy In The Pre-Euro Period," Macroeconomic Dynamics, Cambridge University Press, vol. 7(05), pages 711-733, November.
    12. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    More about this item

    Keywords

    policy analysis; forecasting; rational expectations; error correction;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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