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Estimating Potential Output in Romania using Univariate Statistical Filters

Author

Listed:
  • Dedu Vasile

    (Bucharest Academy of Economic Studies)

  • Stoica Tiberiu

    (Bucharest Academy of Economic Studies)

Abstract

In this paper, we determine the potential economic growth in Romania using three statistical univariate filters. The techniques used are Hodrick-Prescott (HP), Christiano-Fitzgerald (CF) and Baxter-King (BK) filters. According to our calculations, HP outperforms the other two filters for the pre-crisis period but offers poor end-sample estimates as expected. During the economic crisis, all models indicate a slowdown of the potential growth in Romania. The most reliable estimate for 2011 is offered by CF band-pass filter. BK filter performs poorly in the sample period with the exception of the estimate for 2008 and does not provide.

Suggested Citation

  • Dedu Vasile & Stoica Tiberiu, 2012. "Estimating Potential Output in Romania using Univariate Statistical Filters," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 1355-1358, May.
  • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:12:p:1355-1358
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    More about this item

    Keywords

    potential output; univariate filter; band-pass filter; business cycles.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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