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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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    More about this item

    Keywords

    policy analysis; forecasting; rational expectations; error correction;
    All these keywords.

    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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