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The Performance of Predictions Based on the Dobrescu Macromodel for the Romanian Economy

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  • Mihaela Simionescu (Bratu)

    (Institute for Economic Forecasting)

Abstract

This research has two main objectives: the evaluation of forecast performance based on the Dobrescu macromodel for the Romanian economy on the horizon 1997-2012 and the proposal of some empirical strategies to improve the prediction accuracy. Seven macroeconomic indicators were selected and the most accurate forecasts are those for exchange rate, the less accurate being export rate predictions. Unlike the rest of the forecasts, these are biased. The best improvement in accuracy for the seven types of forecasts was obtained by applying Hodrick-Prescott filter and Holt- Winters adjustment. During 2004-2012,Dobrescu model offered forecasts with a higher degree of efficiency compared to NCP for GDP deflator, consumer index of prices and exchange rate. Using a fixed-effects model based on three scenarios of the Dobrescu model for GDP deflator, index of private consumption, GDP index and index of consumer prices, the weak efficiency was checked only for GDP deflator and index of private consumption.

Suggested Citation

  • Mihaela Simionescu (Bratu), 2014. "The Performance of Predictions Based on the Dobrescu Macromodel for the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 179-195, October.
    • Handle: RePEc:rjr:romjef:v::y:2014:i:3:p:179-195
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    References listed on IDEAS

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    1. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    2. Stephen K. McNees, 1987. "Consensus forecasts: tyranny of the majority?," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 15-21.
    3. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
    4. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2014. "Evaluating Macroeconomic Forecasts: A Concise Review Of Some Recent Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 195-208, April.
    5. Institute for Economic Forecasting, 2009. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version Yearly Forecast Summer Forecast 2009," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(2), pages 200-203, June.
    6. Koop, Gary & Korobilis, Dimitris, 2011. "UK macroeconomic forecasting with many predictors: Which models forecast best and when do they do so?," Economic Modelling, Elsevier, vol. 28(5), pages 2307-2318, September.
    7. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2011. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version - Yearly Forecast – Summer Forecast 2011, June Estimate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 171-174, March.
    8. Diebold, Francis X., 1989. "Forecast combination and encompassing: Reconciling two divergent literatures," International Journal of Forecasting, Elsevier, vol. 5(4), pages 589-592.
    9. Emilian Dobrescu, 2013. "Updating the Romanian Economic Macromodel," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-31, December.
    10. Institute for Economic Forecasting, 2009. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version Yearly Forecast - Autumn Forecast 2009," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(3), pages 198-201, September.
    11. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2010. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version - Yearly Forecast – Preliminate for 2010, November estimate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 208-212, December.
    12. Capistrán, Carlos & Timmermann, Allan, 2009. "Forecast Combination With Entry and Exit of Experts," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 428-440.
    13. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2010. "The "Dobrescu Macromodel" Of The Romanian Market Economy - 2005 Version Yearly Forecast - Spring Forecast 2010," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 215-217, March.
    14. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2011. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version - Yearly Forecast – Autumn Forecast 2011, September Estimate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 267-269, September.
    15. Grant Allan, 2012. "Evaluating the usefulness of forecasts of relative growth," Working Papers 1214, University of Strathclyde Business School, Department of Economics.
    16. Bruno Deschamps & Paolo Bianchi, 2012. "An evaluation of Chinese macroeconomic forecasts," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 10(3), pages 229-246, December.
    17. Institute for Economic Forecasting & Centre for Macroeconomic Modelling, 2011. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version Yearly Forecast Preliminate for 2011, November Estimates," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 197-199, December.
    18. Lillie Lam & Laurence Fung & Ip-wing Yu, 2008. "Comparing Forecast Performance of Exchange Rate Models," Working Papers 0808, Hong Kong Monetary Authority.
    19. Dobrescu, Emilian, 2002. "Updated Scenarios For The Romanian Economy Medium-Term Dynamics," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-16, March.
    20. Institute for Economic Forecasting, 2009. "The "Dobrescu Macromodel" of the Romanian Market Economy - 2005 Version Yearly Forecast - Preliminate for 2009," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 224-226, December.
    21. A. Melander & G. Sismanidis & D. Grenouilleau, 2007. "The track record of the Commission's forecasts - an update," European Economy - Economic Papers 2008 - 2015 291, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    22. Mihaela Bratu (Simionescu), 2013. "Filters or Holt Winters Technique to Improve the Forecasts for USA Inflation Rate?," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(1), pages 126-136, February.
    23. Dobrescu, Emilian, 2000. "Medium-Run Scenarios Of The Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 8-28, June.
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    Cited by:

    1. Lucian Liviu ALBU & Carlos MatéJIMÉNEZ & Mihaela SIMIONESCU, 2015. "The Assessment of Some Macroeconomic Forecasts for Spain using Aggregated Accuracy Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 30-47, June.
    2. Mihaela Simionescu, 2015. "The Improvement of Unemployment Rate Predictions Accuracy," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(3), pages 274-286.

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    More about this item

    Keywords

    forecasts accuracy; biasness; efficiency; performance; strategy; combined forecasts; Hodrick-Prescott filter;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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