IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

A sneeze in the U.S., a cough in Japan, but pneumonia in Taiwan? An application of the Markov-Switching vector autoregressive model

  • Chen, Shyh-Wei
  • Shen, Chung-Hua
Registered author(s):

    No abstract is available for this item.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    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 under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Economic Modelling.

    Volume (Year): 24 (2007)
    Issue (Month): 1 (January)
    Pages: 1-14

    in new window

    Handle: RePEc:eee:ecmode:v:24:y:2007:i:1:p:1-14
    Contact details of provider: Web page:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Chen, Shyh-Wei & Shen, Chung-Hua, 2006. "Can the identification puzzle of Taiwan's turning points after 1990 be solved?," Economic Modelling, Elsevier, vol. 23(1), pages 174-195, January.
    2. Diks, C.G.H. & Panchenko, V., 2004. "A note on the Hiemstra-Jones test for Granger non-causality," CeNDEF Working Papers 04-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Robin L. Lumsdaine & Eswar S. Prasad, 2003. "Identifying the Common Component of International Economic Fluctuations: A New Approach," Economic Journal, Royal Economic Society, vol. 113(484), pages 101-127, January.
    4. Chauvet, Marcelle, 1998. "An Econometric Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 969-96, November.
    5. Kwark, Noh-Sun, 1999. "Sources of international business fluctuations: Country-specific shocks or worldwide shocks?," Journal of International Economics, Elsevier, vol. 48(2), pages 367-385, August.
    6. Kunst, Robert M & Marin, Dalia, 1989. "On Exports and Productivity: A Causal Analysis," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 699-703, November.
    7. Jacobson Tor & Lindh Thomas & Warne Anders, 2002. "Growth, Saving, Financial Markets, and Markov Switching Regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(4), pages 1-20, January.
    8. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
    9. Canova, Fabio & Dellas, Harris, 1993. "Trade interdependence and the international business cycle," Journal of International Economics, Elsevier, vol. 34(1-2), pages 23-47, February.
    10. Phillips, Kerk L., 1991. "A two-country model of stochastic output with changes in regime," Journal of International Economics, Elsevier, vol. 31(1-2), pages 121-142, August.
    11. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    12. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
    13. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
    14. Ahmad, Jaleel & Harnhirun, Somchai, 1995. "Unit roots and cointegration in estimating causality between exports and economic growth: Empirical evidence from the ASEAN countries," Economics Letters, Elsevier, vol. 49(3), pages 329-334, September.
    15. Gross, Daniel, 2001. "Trade flows and the international business cycle," CFS Working Paper Series 2001/12, Center for Financial Studies (CFS).
    16. Warne, Anders, 2000. "Causality and Regime Inference in a Markov Switching VAR," Working Paper Series 118, Sveriges Riksbank (Central Bank of Sweden).
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:24:y:2007:i:1:p:1-14. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.