IDEAS home Printed from https://ideas.repec.org/p/hhs/lunewp/2002_003.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    2. Gredenhoff, Mikael & Jacobson, Tor, 2001. "Bootstrap Testing Linear Restrictions on Cointegrating Vectors," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 63-72, January.
    3. Jurgen A. Doornik & David F. Hendry & Bent Nielsen, 1998. "Inference in Cointegrating Models: UK M1 Revisited," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 533-572, December.
    4. Bent Nielsen & Anders Rahbek, 2000. "Similarity Issues in Cointegration Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 5-22, February.
    5. 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.
    6. Haug, Alfred A., 1996. "Tests for cointegration a Monte Carlo comparison," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 89-115.
    7. Hatemi-J, Abdulnasser, 2002. "Fiscal policy in Sweden: effects of EMU criteria convergence," Economic Modelling, Elsevier, vol. 19(1), pages 121-136, January.
    8. Jurgen A. Doornik & H. Peter Boswijk, 2005. "Distribution approximations for cointegration tests with stationary exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 797-810.
    9. Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-277, August.
    10. repec:bla:jecsur:v:12:y:1998:i:5:p:533-72 is not listed on IDEAS
    11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    12. Anders Rahbek & Rocco Mosconi, 1999. "Cointegration rank inference with stationary regressors in VAR models," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 76-91.
    13. Pantula, Sastry G., 1989. "Testing for Unit Roots in Time Series Data," Econometric Theory, Cambridge University Press, vol. 5(2), pages 256-271, August.
    14. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    15. 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.
    16. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Tor Jacobson, 1995. "Simulating small-sample properties of the maximum likelihood cointegration method : estimation and testing," Finnish Economic Papers, Finnish Economic Association, vol. 8(2), pages 96-107, Autumn.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irfan Civcir, 2003. "Before the Fall, Was the Turkish Lira Overvalued?," Eastern European Economics, Taylor & Francis Journals, vol. 41(2), pages 69-99, March.
    2. Binner, Jane & Elger, Thomas, 2002. "The UK Personal Sector Demand for Risky Money," Working Papers 2002:9, Lund University, Department of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Levent KORAP, 2008. "Exchange Rate Determination Of Tl/Us$:A Co-Integration Approach," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 7(1), pages 24-50, May.
    3. Kirstin Hubrich & Helmut Lutkepohl & Pentti Saikkonen, 2001. "A Review Of Systems Cointegration Tests," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 247-318.
    4. Tang, Chor Foon & Tan, Bee Wah, 2015. "The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam," Energy, Elsevier, vol. 79(C), pages 447-454.
    5. Chor Foon Tang, 2011. "An exploration of dynamic relationship between tourist arrivals, inflation, unemployment and crime rates in Malaysia," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 38(1), pages 50-69, January.
    6. Chandran, V.G.R. & Tang, Chor Foon, 2013. "The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 445-453.
    7. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, September.
    8. Österholm, Pär, 2003. "Testing for Cointegration in Misspecified Systems –A Monte Carlo Study of Size Distortions," Working Paper Series 2003:21, Uppsala University, Department of Economics.
    9. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    10. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    11. Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.
    12. Panayiotis Diamantis & Dimitris Georgoutsos & George Kouretas, 2001. "The Monetary Approach in the Presence of I(2) Components: A Cointegration Analysis of the Official and Black Market for Foreign Currency in Latin America," Working Papers 0108, University of Crete, Department of Economics.
    13. Norman J. Morin, 2006. "Likelihood ratio tests on cointegrating vectors, disequilibrium adjustment vectors, and their orthogonal complements," Finance and Economics Discussion Series 2006-21, Board of Governors of the Federal Reserve System (U.S.).
    14. Takamitsu Kurita & Bent Nielsen, 2019. "Partial Cointegrated Vector Autoregressive Models with Structural Breaks in Deterministic Terms," Econometrics, MDPI, vol. 7(4), pages 1-35, October.
    15. Choudhry, Taufiq, 2005. "Exchange rate volatility and the United States exports: evidence from Canada and Japan," Journal of the Japanese and International Economies, Elsevier, vol. 19(1), pages 51-71, March.
    16. Özgür Aslan & Levent Korap, 2007. "Testing Quantity Theory of Money for the Turkish Economy," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 1(2), pages 93-109.
    17. Zeren, Fatma & Korap, Levent, 2010. "A cost-based empirical model of the aggregate price determination for the Turkish economy: a multivariate cointegration approach," MPRA Paper 23655, University Library of Munich, Germany.
    18. Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the post Bretton-Woods period," MERIT Working Papers 2006-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Irfan Civcir, 2003. "The Monetary Models of the Turkish Lira/U.S. Dollar Exchange Rate: Long-run Relationships, Short-run Dynamics, and Forecasting," Eastern European Economics, Taylor & Francis Journals, vol. 41(6), pages 43-63, January.
    20. Nieh, Chien-Chung & Yau, Hwey-Yun, 2004. "Time series analysis for the interest rates relationships among China, Hong Kong, and Taiwan money markets," Journal of Asian Economics, Elsevier, vol. 15(1), pages 171-188, February.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:lunewp:2002_003. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Iker Arregui Alegria (email available below). General contact details of provider: https://edirc.repec.org/data/delunse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.