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

Author

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  • 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
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    References listed on IDEAS

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    3. Soderstrom, Ulf, 2002. " Monetary Policy with Uncertain Parameters," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 125-145.
    4. 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.
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    6. 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.
    7. 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.
    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.
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    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.

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    More about this item

    Keywords

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

    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

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