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Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration

Author

Listed:
  • James G. MacKinnon

    (Department of Economics, Queen's University, Canada)

  • Alfred A. Haug

    (York University, Canada)

  • Leo Michelis

    (Ryerson Polytechnic University, Canada)

Abstract

This paper employs response surface regressions based on simulation experments to calculate asymptotic distribution functions for the likelihood ratio tests for cointegration proposed by Johansen The paper provides tables of critical values that are very much more accurate than those available previously However the principal contributions of the paper are a set of data les that contain estimated asymptotic quantiles obtained from response surface estimation and a computer program for utilizing them This program which is freely available via the Internet can easily be used to calculate asymptotic critical values and P values Graphs of some of the tabulated distribution functions are also provided An empirical example motivated by the European Economic and Monetary Union proposed in the Maastricht Treaty suggests that not all the countries of the European Union may qualify initially for participation in the EMU.

Suggested Citation

  • James G. MacKinnon & Alfred A. Haug & Leo Michelis, 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Working Papers 1996_07, York University, Department of Economics.
    • Handle: RePEc:yca:wpaper:1996_07
    as

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    File URL: ftp://dept.econ.yorku.ca/pub/working_papers/96-07.pdf
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    References listed on IDEAS

    as
    1. Mansoorian, Arman, 1996. "On the Macroeconomic Policy Implications of Habit Persistence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 119-129, February.
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    6. Heaton, John, 1995. "An Empirical Investigation of Asset Pricing with Temporally Dependent Preference Specifications," Econometrica, Econometric Society, vol. 63(3), pages 681-717, May.
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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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