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A Monte Carlo Study on the Pitfalls in Determining Deterministic Components in Cointegrating Models

Author

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  • Hjelm, Göran

    (Department of Economics, Lund University)

  • Johansson, Martin W

    (Department of Economics, Lund University)

Abstract

In this paper we examine, by means of Monte Carlo simulation, the properties of the so called 'Pantula principle' for the simultaneous determination of rank and deterministic components in a vector error correction model. Examining the five models contained within the Johansen methodology, we find that the 'Pantula principle' is heavily biased towards choosing model 3 (unrestriced constant) when model 4 (restricted trend) is the true one. We suggest a modification that reduces this bias to an important extent

Suggested Citation

  • Hjelm, Göran & Johansson, Martin W, 2002. "A Monte Carlo Study on the Pitfalls in Determining Deterministic Components in Cointegrating Models," Working Papers 2002:3, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2002_003
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    References listed on IDEAS

    as
    1. Haug, Alfred A., 1996. "Tests for cointegration a Monte Carlo comparison," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 89-115.
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    7. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
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    2. Binner, Jane & Elger, Thomas, 2002. "The UK Personal Sector Demand for Risky Money," Working Papers 2002:9, Lund University, Department of Economics.

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    More about this item

    Keywords

    Cointegration; Deterministic components; Monte Carlo simulation;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • 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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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