IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

The Use of Simple Regression in Macroeconomic Analysis

  • Constantin Anghelache
  • Ligia Prodan


    ("Dimitrie Cantemir" Christian University)

Registered author(s):

    This article shows the evolution of the main macroeconomic indicators of results, Gross Domestic Product correlated with variation of final consumption in our country in the years 1990 to 2011. The values of the two macroeconomic indicators have been deflated using the consumer price index with fixed basis, considering the first year of the series, 1990, as a reference. The evolution of the Gross Domestic Product is influenced to a large extent by changes of final consumption. To achieve the correlation between the two macroeconomic indicators, article proposes using the linear regression model, model is the basis of many micro and macroeconomic analysis. In this regression model is considered the gross domestic product as outcome variables and the final consumption as the variable factorial.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    Article provided by Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest in its journal Knowledge Horizons - Economics.

    Volume (Year): 5 (2013)
    Issue (Month): 4 (December)
    Pages: 168-172

    in new window

    Handle: RePEc:khe:journl:v:5:y:2013:i:4:p:168-172
    Contact details of provider: Postal: Splaiul Unirii nr. 176, sector 4, Bucuresti
    Phone: 0040213308460
    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, July.
    2. Bourbonnais, RĂ©gis & Andrei, Tudorel, 2008. "Econometrie," Economics Papers from University Paris Dauphine 123456789/7463, Paris Dauphine University.
    3. Constantin ANGHELACHE & Mario G.R. PAGLIACCI & Ligia PRODAN, 2013. "Model For Macroeconomic - Analyse Based On The Regression Function," Romanian Statistical Review, Romanian Statistical Review, vol. 61(1), pages 18-30, February.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:khe:journl:v:5:y:2013:i:4:p:168-172. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adi Sava)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.