IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v7y2000i9p581-583.html
   My bibliography  Save this article

Some methodological comments on 'Public investment and private capital formation in a vector error-correction model of growth' by K. H. Ghali

Author

Listed:
  • Mudit Kulshreshtha
  • Barnali Nag

Abstract

The note comments on the application of Granger non-causality tests of short-run vector error correction models as attempted by Ghali. It is noted that when the dimension of VAR is greater than two, block Granger causality needs to be performed, and that checking variable to variable causality has little meaning in multivariate context as the covariance matrix is positive definite. It is also noted that identification of cointegrating relationships does not provide information on short-run structural relationships, which requires modelling of contemporaneous innovations.

Suggested Citation

  • Mudit Kulshreshtha & Barnali Nag, 2000. "Some methodological comments on 'Public investment and private capital formation in a vector error-correction model of growth' by K. H. Ghali," Applied Economics Letters, Taylor & Francis Journals, vol. 7(9), pages 581-583.
  • Handle: RePEc:taf:apeclt:v:7:y:2000:i:9:p:581-583
    DOI: 10.1080/13504850050059041
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850050059041&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504850050059041?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. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
    2. 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.
    3. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    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. Pesaran, M. Hashem & Smith, Ron, 1995. "The role of theory in econometrics," Journal of Econometrics, Elsevier, vol. 67(1), pages 61-79, May.
    6. Pesaran, M Hashem, 1997. "The Role of Economic Theory in Modelling the Long Run," Economic Journal, Royal Economic Society, vol. 107(440), pages 178-191, January.
    7. Khalifa Ghali, 1998. "Public investment and private capital formation in a vector error-correction model of growth," Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 837-844.
    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. Naveed H. Naqvi, 2002. "Crowding-in or Crowding-out? Modelling the Relationship between Public and Private Fixed Capital Formation Using Co-integration Analysis: The Case of Pakistan 1964-2000," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 41(3), pages 255-276.

    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. Kulshreshtha, Mudit & Parikh, Jyoti K., 2000. "Modeling demand for coal in India: vector autoregressive models with cointegrated variables," Energy, Elsevier, vol. 25(2), pages 149-168.
    2. Kulshreshtha, Mudit & Nag, Barnali & Kulshrestha, Mukul, 2001. "A multivariate cointegrating vector auto regressive model of freight transport demand: evidence from Indian railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 29-45, January.
    3. Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    4. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    5. M. Hashem Pesaran & Yongcheol Shin, 2002. "Long-Run Structural Modelling," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 49-87.
    6. 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.
    7. Phylaktis, Kate & Chen, Long, 2009. "Price discovery in foreign exchange markets: A comparison of indicative and actual transaction prices," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 640-654, September.
    8. Moreira, Ricardo Ramalhete, 2016. "Measuring the Monetary Policy’s Structural Credibility by the Expected Inflation Determinants: a Kalman Filter Approach for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    9. Zied Akrout & Hamid Bachouch & Salim Moualdi, 2021. "Co-integration between Corruption and Economic Growth through Investment Channels: Empirical Evidence using the ARDL Bound Testing Approach for the Tunisian Case," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 26-33.
    10. Jian Yang, 2005. "Government bond market linkages: evidence from Europe," Applied Financial Economics, Taylor & Francis Journals, vol. 15(9), pages 599-610.
    11. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    12. Wang, Yi-Chia, 2014. "Evidence of public capital spillovers and endogenous growth in Taiwan," Economic Modelling, Elsevier, vol. 39(C), pages 314-321.
    13. Hernán Enríquez Sierra & Jacobo Campo Robledo & Antonio Avendaño Arosemena, 2015. "Relaciones regionales en los precios de vivienda nueva en Colombia," Revista Ecos de Economía, Universidad EAFIT, vol. 19(40), pages 25-47, June.
    14. Bruno Chiarini, 1998. "Cyclicality of real wages and adjustment costs," Applied Economics, Taylor & Francis Journals, vol. 30(9), pages 1239-1250.
    15. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    16. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    17. Sari, Ramazan & Soytas, Ugur & Hacihasanoglu, Erk, 2011. "Do global risk perceptions influence world oil prices?," Energy Economics, Elsevier, vol. 33(3), pages 515-524, May.
    18. Kapoor, Nimisha & Ghosh, Sajal, 2014. "Long-term association between European and Indian markets on carbon credit price," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 656-662.
    19. Tanattrin Bunnag, 2022. "Causality Relationship between Electric Power Consumption and Economic Growth in Malaysia and Thailand: Autoregressive Distributed Lag Bound Testing Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 17-22.
    20. Bordo, Michael D. & MacDonald, Ronald, 2003. "The inter-war gold exchange standard: credibility and monetary independence," Journal of International Money and Finance, Elsevier, vol. 22(1), pages 1-32, February.

    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:apeclt:v:7:y:2000:i:9:p:581-583. 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/RAEL20 .

    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.