IDEAS home Printed from https://ideas.repec.org/a/taf/intecj/v16y2002i2p37-45.html
   My bibliography  Save this article

On the Use of Innovation Correlations to Study Cyclical Co-Movements in GDP and Its Components

Author

Listed:
  • Abeysinghe Tilak
  • Choy Keen

Abstract

Innovation cross correlations are sometimes used as indicators of cyclical co-movements among economic variables. This note shows that care is needed in making inferences about business cycle co-movements between GDP and its components from an innovation cross correlation analysis because of the effect of the national income accounting identity. The point is illustrated with an empirical example from Singapore. [C22, E32]

Suggested Citation

  • Abeysinghe Tilak & Choy Keen, 2002. "On the Use of Innovation Correlations to Study Cyclical Co-Movements in GDP and Its Components," International Economic Journal, Taylor & Francis Journals, vol. 16(2), pages 37-45.
    • Handle: RePEc:taf:intecj:v:16:y:2002:i:2:p:37-45
    DOI: 10.1080/10168730200000012
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10168730200000012
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10168730200000012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Abeysinghe, Tilak, 1994. "Deterministic seasonal models and spurious regressions," Journal of Econometrics, Elsevier, vol. 61(2), pages 259-272, April.
    2. William Schwert, G., 1979. "Tests of causality : The message in the innovations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 55-96, January.
    3. Lucas, Robert E., 1977. "Understanding business cycles," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 5(1), pages 7-29, January.
    4. E. M. R. A. Engel, 1984. "A Unified Approach To The Study Of Sums, Products, Time‐Aggregation And Other Functions Of Arma Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 5(3), pages 159-171, May.
    Full references (including those not matched with items on IDEAS)

    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. Mark Schankerman, 1991. "Revisions of Investment Plans and the Stock Market Rate of Return," STICERD - Economics of Industry Papers 05, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Guochang Wang & Wai Keung Li & Ke Zhu, 2018. "New HSIC-based tests for independence between two stationary multivariate time series," Papers 1804.09866, arXiv.org.
    3. Buiter, Willem H., 1986. "Granger Causality and Policy Ineffectiveness: A Rejoinder," CEPR Discussion Papers 126, C.E.P.R. Discussion Papers.
    4. van Schaik, A.B.T.M. & Mulder, R.J., 1986. "On superimposed recurrent cycles," Research Memorandum FEW 232, Tilburg University, School of Economics and Management.
    5. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    6. Elvio Accinelli & Juan Gabriel Brida, 2007. "Modelos económicos con múltiples regímenes," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 1(2), pages 96-115.
    7. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    8. Mulder, C.B., 1986. "Testing Korteweg's rational expectations model for a small open economy," Other publications TiSEM c52e6c80-834d-49c7-ae6a-b, Tilburg University, School of Economics and Management.
    9. Marco Gallegati & Mauro Gallegati, 2005. "Wavelet variance and correlation analyses of output in G7 countries," Macroeconomics 0512017, University Library of Munich, Germany.
    10. George S. Tavlas, 2015. "In Old Chicago: Simons, Friedman, and the Development of Monetary‐Policy Rules," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 99-121, February.
    11. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
    12. Jean-Pierre Danthine & John B. Donaldson, 2001. "Macroeconomic Frictions: What Have We Learned from the Real Business Cycle Research Programme?," International Economic Association Series, in: Jacques Drèze (ed.), Advances in Macroeconomic Theory, chapter 4, pages 56-75, Palgrave Macmillan.
    13. Orszag, J. Michael & Yang, Hong, 1995. "Portfolio choice with Knightian uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 873-900.
    14. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
    15. Ageliki Anagnostou & Ioannis Panteladis & Maria Tsiapa, 2015. "Disentangling different patterns of business cycle synchronicity in the EU regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 615-641, August.
    16. Stéphane Pallage & Michel A. Robe, 2001. "Foreign Aid and the Business Cycle," Review of International Economics, Wiley Blackwell, vol. 9(4), pages 641-672, November.
    17. Erik Frohm & Vanessa Gunnella, 2021. "Spillovers in global production networks," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 663-680, August.
    18. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
    19. Robert E. Carpenter & Steven M. Fazzari & Bruce C. Petersen, 1994. "Inventory (Dis)Investment, Internal Finance Fluctuations, and the Business Cycle," Macroeconomics 9401001, University Library of Munich, Germany.
    20. Simon Gilchrist & John C. Williams, 2000. "Putty-Clay and Investment: A Business Cycle Analysis," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 928-960, October.

    More about this item

    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:taf:intecj:v:16:y:2002:i:2:p:37-45. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RIEJ20 .

    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.