IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v61y2013i2p296-301.html
   My bibliography  Save this article

Using Time Series in the Analysis of the Gross Domestic Product

Author

Listed:
  • Catalin DEATCU

    („Artifex” University of Bucharest)

  • Zoica NICOLA

    („Artifex” University of Bucharest)

Abstract

The study of the economic processes and phenomena using time-series is an important source of information for the analyses carried out both at the microeconomic level, and those made at the macroeconomic level. Within the framework of this work are presented a series of theoretical aspects relating to General series dynamic features, as well as information on their use in the macroeconomic forecasts. I also presented a practical model of analysis based on the evolution of gross Product inter for the period 1990-2012.

Suggested Citation

  • Catalin DEATCU & Zoica NICOLA, 2013. "Using Time Series in the Analysis of the Gross Domestic Product," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(2), pages 296-301, May.
    • Handle: RePEc:rsr:supplm:v:61:y:2013:i:2:p:296-301
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/suplimente/2013/2_2013/srrs2_2013a46.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    time series; foresight; short time analysis; long time analysis; econometric models;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

    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:rsr:supplm:v:61:y:2013:i:2:p:296-301. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.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.