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Testing Structural Hypotheses on Cointegration Relations with Small Samples

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  • Zhou, Su

Abstract

This study examines the finite-sample bias of Johansen's [1991] likelihood ratio tests for structural hypotheses on cointegration relations among economic variables through the Monte Carlo experiments. It is found that the Johansen tests with small samples are biased toward rejecting the null hypotheses more often than what asymptotic theory suggests, even after the test statistics are adjusted by Sim's correction. A bootstrap method for obtaining problem-specific critical values for the tests is proposed. It is shown that using the bootstrap procedure may substantially reduce the small-sample bias. An empirical application of the procedure is demonstrated. Copyright 2000 by Oxford University Press.

Suggested Citation

  • Zhou, Su, 2000. "Testing Structural Hypotheses on Cointegration Relations with Small Samples," Economic Inquiry, Western Economic Association International, vol. 38(4), pages 629-640, October.
  • Handle: RePEc:oup:ecinqu:v:38:y:2000:i:4:p:629-40
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    Cited by:

    1. Mr. Natan P. Epstein & Corrado Macchiarelli, 2010. "Estimating Poland's Potential Output: A Production Function Approach," IMF Working Papers 2010/015, International Monetary Fund.
    2. Meurers Martin, 2004. "Estimating Supply and Demand Functions in International Trade: A Multivariate Cointegration Analysis for Germany / Die Schätzung von Angebots- und Nachfragefunktionen im Außenhandel: Eine multivariate," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(5), pages 530-556, October.
    3. Hjelm, Goran & Johansson, Martin W., 2005. "A Monte Carlo study on the pitfalls in determining deterministic components in cointegrating models," Journal of Macroeconomics, Elsevier, vol. 27(4), pages 691-703, December.
    4. Alain Galli, 2017. "How Reliable are Cointegration-Based Estimates for Wealth Effects on Consumption? Evidence from Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 153(4), pages 437-479, October.
    5. Eriksson , Åsa, 2004. "Testing Structural Hypotheses on Cointegration Vectors: A Monte Carlo Study," Working Papers 2004:29, Lund University, Department of Economics.
    6. 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.

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