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Statistical Analysis of Monetary Policy Indicators Variability

Author

Listed:
  • Anamaria Popescu

    (University of Petroşani, Romania)

  • Nadia Elena Stoicuţa

    (University of Petroşani, Romania)

Abstract

This paper attempts to characterize through statistical indicators of statistical data that we have available. The purpose of this paper is to present statistical indicators, primary and secondary, simple and synthetic, which is frequently used for statistical characterization of statistical series. We can thus analyze central tendency, and data variability, form and concentration distributions package data using analytical tools in Microsoft Excel that enables automatic calculation of descriptive statistics using Data Analysis option from the Tools menu. We will also study the links which exist between statistical variables can be studied using two techniques, correlation and regression. From the analysis of monetary policy in the period 2003 - 2014 and information provided by the website of the National Bank of Romania (BNR) seems to be a certain tendency towards eccentricity and asymmetry of financial data series.

Suggested Citation

  • Anamaria Popescu & Nadia Elena Stoicuţa, 2016. "Statistical Analysis of Monetary Policy Indicators Variability," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 16(1), pages 207-218.
    • Handle: RePEc:pet:annals:v:16:y:2016:i:1:p:207-218
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    More about this item

    Keywords

    descriptive statistics; asymmetry; eccentricity; normal distribution; correlation; regression; data analysis;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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