IDEAS home Printed from https://ideas.repec.org/a/ine/journl/v2y2013i44p124-134.html
   My bibliography  Save this article

The Assessment Of Parameter Uncertainty In A Vector Error Correction Model For Romania

Author

Listed:
  • Mihaela SIMIONESCU

    () (Bucharest University of Economics)

Abstract

The assessment of uncertainty that characterizes the econometric model parameters is an important input for policymakers that have to establish more alternative policies to protect against persistent shocks of the economy. The objective of this useful research for policymakers is to evaluate the parameter uncertainty in the behavioural equations of a vector error correction model for Romania. A positive impact of the foreign direct investment and exports on GDP real rate was measured on the horizon Q1:2000-Q4:2012. A permanent shock was observed in parameters. The error correction vector explains quarterly around 10.6% of the desequilibrium. The necessary period for reducing the gap between the value of GDP in the last quarter of 2012 and that in the steady-state is 14 quarters, till the second quarter of 2016.

Suggested Citation

  • Mihaela SIMIONESCU, 2013. "The Assessment Of Parameter Uncertainty In A Vector Error Correction Model For Romania," Romanian Journal of Economics, Institute of National Economy, vol. 37(2(46)), pages 124-134, December.
  • Handle: RePEc:ine:journl:v:2:y:2013:i:44:p:124-134
    as

    Download full text from publisher

    File URL: http://www.revecon.ro/articles/2013-2/2013-2-9.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Athanasios Orphanides & John C. Williams, 2005. "Inflation scares and forecast-based monetary policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 498-527, April.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Ray Fair, 2003. "Optimal Control and Stochastic Simulation of Large Nonlinear Models with Rational Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 245-256, June.
    4. Matteo Ciccarelli & Kirstin Hubrich, 2010. "Forecast uncertainty: sources, measurement and evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 509-513.
    5. Soderstrom, Ulf, 2002. " Monetary Policy with Uncertain Parameters," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 125-145.
    6. Glenn D. Rudebusch, 2001. "Is The Fed Too Timid? Monetary Policy In An Uncertain World," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 203-217, May.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    8. Debby Lanser & Henk Kranendonk, 2008. "Investigating uncertainty in macroeconomic forecasts by stochastic simulation," CPB Discussion Paper 112, CPB Netherlands Bureau for Economic Policy Analysis.
    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. Daniel Ştefan BELINGHER, 2016. "A Three-Dimensional Approach On The Ricardian Equivalence In Romania," Romanian Economic Business Review, Romanian-American University, vol. 11(2), pages 112-122, June.

    More about this item

    Keywords

    parameters uncertainty; vector error correction model; behavioural equations; steady-state; GDP rate; foreign direct investments; exports;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

    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:ine:journl:v:2:y:2013:i:44:p:124-134. 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: (Valentina Vasile). General contact details of provider: http://edirc.repec.org/data/inacaro.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.