IDEAS home Printed from https://ideas.repec.org/a/khe/journl/v7y2015i1p88-91.html
   My bibliography  Save this article

Methodology of Using Statistical Indicators in Macroeconomic Analyses

Author

Listed:
  • Claudia Gabriela Bentoiu
  • Gratiela Ghic
  • Cristina Athu

Abstract

The system of macroeconomic indicators development has been imperative in order to meet the requirements of the characterization and business social - economic analysis at various organizational levels and for the whole national economy. Targeting the mass phenomena characterization, statistics draw up specific methodologies and techniques. The main characteristic of the mass phenomena and processes is the variability of individual forms of manifestation in time, space, and at an organizational level. The approach of these individual forms of manifestation includes the need for building a large number of statistical indicators. The statistical indicators are information carriers, with a genuine content, a determined objective and can be used either to characterize sides of certain processes and/or mass phenomena, as for their structure and volume, or as a system of indicators, in order to analyses the same phenomena or mass processes in their mutual interdependence.

Suggested Citation

  • Claudia Gabriela Bentoiu & Gratiela Ghic & Cristina Athu, 2015. "Methodology of Using Statistical Indicators in Macroeconomic Analyses," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 7(1), pages 88-91, March.
    • Handle: RePEc:khe:journl:v:7:y:2015:i:1:p:88-91
    as

    Download full text from publisher

    File URL: http://orizonturi.ucdc.ro/arhiva/khe7nr1/bentoiu2.pdf
    Download Restriction: no
    File URL: http://orizonturi.ucdc.ro/arhiva/khe7nr1/bentoiu2.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Living standard and quality of life; Integrated Household Survey (IHS); Household Budget Survey (HBS);
    All these keywords.

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:khe:journl:v:7:y:2015:i:1:p:88-91. 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: Adi Sava (email available below). General contact details of provider: https://edirc.repec.org/data/ffucdro.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.