Statistical Methods for Studying the Causality between Economic Growth and Material Welfare of Populations

Abstract

The article is devoted to the statistical methods and their applications in quantitative studies of the causality between economic phenomena and processes. Nowadays there is a great variety of mathematical, statistical and other methods of analysis. The problem of the study is how to select a statistical method in the right way. All the phenomena in the world are interrelated and affect each other. Therefore each observable phenomenon is causally related with innumerable other phenomena, and its pattern of development depends on the multiplicity of factors. In view of the above, the aim of the study is to get better understanding of these causalities. Learning of internationally established statistical methods is helpful. The capabilities of the statistical equations method in finding the above mentioned causalities are demonstrated, with emphasizing its advantages over other statistical methods. Comparative analysis of main statistical methods used in static and dynamic ways is given.

Authors and Affiliations

Yu. Е. Prydannykova

Keywords

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  • EP ID EP564068
  • DOI 10.31767/nasoa.3.2017.02
  • Views 140
  • Downloads 0

How To Cite

Yu. Е. Prydannykova (2017). Statistical Methods for Studying the Causality between Economic Growth and Material Welfare of Populations. Науковий вісник Національної академії статистики, обліку та аудиту, 0(3), 16-25. https://europub.co.uk/articles/-A-564068