IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v67y2000i2p121-129.html
   My bibliography  Save this article

Non-causality in VAR-ECM models with purely exogeneous long-run paths

Author

Listed:
  • Rault, Christophe

Abstract

We propose in this paper a framework based on a canonical representation of the long run matrix, which can constitute a basis for Granger non-causality testing in a VAR-ECM model using asymptotically Chi-square distributed Wald test statistics, and that unlike Giannini and Mosconi (1992), permits to clearly distinguish the nullity of some parameter blocks we can always achieve without any loss of generality, of the nullity of the parameter blocks resulting from the non-causality property. This canonical representation requires to determine the specific rank of a particular sub-matrix, which can be done using sequential test procedure, whose properties are analysed in small and large samples with Monte Carlo experiments.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rault, Christophe, 2000. "Non-causality in VAR-ECM models with purely exogeneous long-run paths," Economics Letters, Elsevier, vol. 67(2), pages 121-129, May.
    • Handle: RePEc:eee:ecolet:v:67:y:2000:i:2:p:121-129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(99)00267-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kiviet, Jan F. & Phillips, Garry D. A., 1996. "The bias of the ordinary least squares estimator in simultaneous equation models," Economics Letters, Elsevier, vol. 53(2), pages 161-167, November.
    2. Jan F. Kiviet & Garry D.A. Phillips, 1998. "Degrees of freedom adjustment for disturbance variance estimators in dynamic regression models," Econometrics Journal, Royal Economic Society, vol. 1(RegularPa), pages 44-70.
    3. Mosconi, Rocco & Giannini, Carlo, 1992. "Non-causality in Cointegrated Systems: Representation Estimation and Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 399-417, August.
    4. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    6. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    7. Kinal, Terrence W, 1980. "The Existence of Moments of k-Class Estimators," Econometrica, Econometric Society, vol. 48(1), pages 241-249, January.
    8. Hunter, John, 1992. "Tests of cointegrating exogeneity for PPP and uncovered interest rate parity in the United Kingdom," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 453-463, August.
    9. Psaradakis, Zacharias, 1994. "A comparison of tests of linear hypotheses in cointegrated vector autoregressive models," Economics Letters, Elsevier, vol. 45(2), pages 137-144, June.
    10. Kadane, Joseph B, 1971. "Comparison of k-Class Estimators when the Disturbances are Small," Econometrica, Econometric Society, vol. 39(5), pages 723-737, September.
    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. Rault, Christophe, 2005. "Further Results on Weak Exogeneity in Vector Error Correction Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    2. Yannick L'horty & Christophe Rault, 2003. "Why Is French Equilibrium Unemployment So High? an Estimation of the Ws-Ps Model," Journal of Applied Economics, Taylor & Francis Journals, vol. 6(1), pages 127-156, May.
    3. Jacqueline Pradel & Christophe Rault, 2003. "Exogeneity in Vector Error Correction Models with Purely Exogenous Long‐Run Paths," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 629-653, December.
    4. Yannick L’Horty & Christophe Rault, 2005. "The Impact of Growth, Labour Cost and Working Time on Employment: Lessons from the French Experience," LABOUR, CEIS, vol. 19(3), pages 595-620, September.
    5. Christophe Rault, 2007. "Une synthèse de l'exogénéité dans les modèles vectoriels à correction d'erreurs," Post-Print halshs-00202651, HAL.
    6. Poomthan Rangkakulnuwat & Sung Ahn & Holly Wang & Susan He, 2010. "Extended generalized purchasing power parity and optimum currency area in East Asian countries," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 497-513.

    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. Jacqueline Pradel & Christophe Rault, 2003. "Exogeneity in Vector Error Correction Models with Purely Exogenous Long‐Run Paths," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 629-653, December.
    2. 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.).
    3. Caporale, Guglielmo Maria & Hassapis, Christis & Pittis, Nikitas, 1998. "Unit roots and long-run causality: investigating the relationship between output, money and interest rates," Economic Modelling, Elsevier, vol. 15(1), pages 91-112, January.
    4. Giorgio Canarella & Stephen Miller & Stephen Pollard, 2014. "Purchasing Power Parity Between the UK and Germany: The Euro Era," Open Economies Review, Springer, vol. 25(4), pages 677-699, September.
    5. Jaramillo Franco, Miguel & Serván Lozano, Sergio, 2012. "Modeling exchange rate dynamics in Peru: A cointegration approach using the UIP and PPP," MPRA Paper 70772, University Library of Munich, Germany.
    6. Michael S. Lee-Browne, 2019. "Estimating monetary policy rules in small open economies," Working Papers 2019-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2012. "Purchasing Power Parity between the UK and the Euro Area," Working Papers 1208, University of Nevada, Las Vegas , Department of Economics.
    8. Christophe RAULT, 2007. "Une synthèse de l'exogénéité dans les modèles Vectoriels à Correction d'Erreurs," LEO Working Papers / DR LEO 1723, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    9. Czujack, Corinna & Flôres Junior, Renato Galvão & Ginsburgh, Victor, 1995. "On long-run price comovements between paintings and prints," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 269, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    10. Ripatti, Antti, 1995. "Leading inflation indicators in Finland: pairwise analysis of Granger-causality and cointegration," Bank of Finland Research Discussion Papers 24/1995, Bank of Finland.
    11. M. Hashem Pesaran & Yongcheol Shin, 2002. "Long-Run Structural Modelling," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 49-87.
    12. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    13. Bunzel, Helle, 2006. "FIXED-b ASYMPTOTICS IN SINGLE-EQUATION COINTEGRATION MODELS WITH ENDOGENOUS REGRESSORS," Econometric Theory, Cambridge University Press, vol. 22(4), pages 743-755, August.
    14. Urbain, Jean-Pierre, 1995. "Partial versus full system modelling of cointegrated systems an empirical illustration," Journal of Econometrics, Elsevier, vol. 69(1), pages 177-210, September.
    15. Song, Chi-Young, 1997. "The Real Exchange Rate and the Current Account Balance in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 11(2), pages 143-184, June.
    16. Erdal Demirhan & Banu Demirhan, 2015. "The Dynamic Effect of ExchangeRate Volatility on Turkish Exports: Parsimonious Error-Correction Model Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(4), pages 429-451, September.
    17. Campos, Julia & Ericsson, Neil R. & Hendry, David F., 1996. "Cointegration tests in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 70(1), pages 187-220, January.
    18. Diamandis, Panayiotis F., 2009. "International stock market linkages: Evidence from Latin America," Global Finance Journal, Elsevier, vol. 20(1), pages 13-30.
    19. Usman Qamar Sheikh & Muhammad Zafar Iqbal & Hafiz Khalil Ahmad, 2016. "The Impact of Foreign Aid, Energy Production and Human Capital on Income Inequality: A Case Study of Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 5(1), pages 1-9, March.
    20. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:eee:ecolet:v:67:y:2000:i:2:p:121-129. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.