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Methodology of Using Statistical Indicators in Macroeconomic Analyses


  • Claudia Gabriela Bentoiu


  • Gratiela Ghic


  • Cristina Athu



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

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    More about this item


    Living standard and quality of life; Integrated Household Survey (IHS); Household Budget Survey (HBS);

    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


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