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A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run

Author

Listed:
  • Daniel Armeanu
  • Jean Vasile Andrei
  • Leonard Lache
  • Mirela Panait
Abstract
The purpose of this paper is to investigate the application of a generalized dynamic factor model (GDFM) based on dynamic principal components analysis to forecasting short-term economic growth in Romania. We have used a generalized principal components approach to estimate a dynamic model based on a dataset comprising 86 economic and non-economic variables that are linked to economic output. The model exploits the dynamic correlations between these variables and uses three common components that account for roughly 72% of the information contained in the original space. We show that it is possible to generate reliable forecasts of quarterly real gross domestic product (GDP) using just the common components while also assessing the contribution of the individual variables to the dynamics of real GDP. In order to assess the relative performance of the GDFM to standard models based on principal components analysis, we have also estimated two Stock-Watson (SW) models that were used to perform the same out-of-sample forecasts as the GDFM. The results indicate significantly better performance of the GDFM compared with the competing SW models, which empirically confirms our expectations that the GDFM produces more accurate forecasts when dealing with large datasets.

Suggested Citation

  • Daniel Armeanu & Jean Vasile Andrei & Leonard Lache & Mirela Panait, 2017. "A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    • Handle: RePEc:plo:pone00:0181379
    DOI: 10.1371/journal.pone.0181379
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    References listed on IDEAS

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    Cited by:

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    2. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
    3. Mircea Constantin Duică & Nicoleta Valentina Florea & Anișoara Duică & Irina Antoaneta Tănăsescu, 2020. "The Role of E-Skills in Developing Sustainable Organizations and E-Activities in the New Digitized Business World," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    4. Alina Mihaela Dima & Liviu Begu & Maria Denisa Vasilescu & Maria Alexandra Maassen, 2018. "The Relationship between the Knowledge Economy and Global Competitiveness in the European Union," Sustainability, MDPI, vol. 10(6), pages 1-15, May.

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