IDEAS home Printed from https://ideas.repec.org/p/rjr/wpconf/161106.html
   My bibliography  Save this paper

Investiţiile Străine Directe Şi Criza Economică Recentă

Author

Listed:
  • Mihaela SIMIONESCU

    (Institute of Economic Forecasting, Romanian Academy)

Abstract

The analysis of foreign direct investment in crisis period is necessary in order to state the prerequisites for economic recovery. A movering average model of order 1 was proposed for foreign direct investment (FDI) stock inwards growth in Romania, which is in accordance with the expectations when many shocks appear in crisis period. However, an autoregressive behaviour was not discovered. There is a bilateral causality between FDI growth and real GDP in second difference for a level of significance of 5%. According to the Bayesian regression model, in the period after the crisis beginning, the real GDP growth in Romania from an year to another generated an increase in FDI while the decrease in real GDP determined a lower FDI. This result confirmed the previous conclusions from literature that foreign investors in Romania follow the economic growth of this coutry.

Suggested Citation

  • Mihaela SIMIONESCU, 2016. "Investiţiile Străine Directe Şi Criza Economică Recentă," Institute for Economic Forecasting Conference Proceedings 161106, Institute for Economic Forecasting.
  • Handle: RePEc:rjr:wpconf:161106
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/RePEc/WorkingPapers/wpconf161106.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    foreign direct investment; moving average; Granger causaity; Bayesian model.;
    All these keywords.

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rjr:wpconf:161106. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.