ANALYSIS OF SENTIMENT INDICATOR FOR THE EURO AREA (19 COUNTRIES) UNDER THE INFLUENCE OF FOUR MANAGEMENT INDICATORS USING GRAPHICAL REPRESENTATION

Margareta Ilie ()
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Margareta Ilie: Ovidius University, Constanta, Romania

EURINT, 2018, vol. 5, 302-322

Abstract: The present paper reveals the second part of early research results obtained from the simulation of the annual sentiment indicator evolution under the influence of the production in industry, the intramural research and development expenditure, the turnover and volume of sales and the employment. The research uses for the process’ simulation the three dimensional representation of the above indicators. The main goal of the research is to be able to determine the four indicators hierarchically listed based on the influence of each indicator on the sentiment indicator evolution. The secondary objective is to compare if the previous results of the research, acquired through the use of artificial neural network simulation, determined the same hierarchy and influence of the four. The data used represent the values for the Euro area (19 countries) recorded between 2006 and 2016, provided by the Eurostat – from the European Commission statistical data website. The author considered that the initial 19 countries represent the most influential ones over the economy and, thus, over the economic sentiment evolution. The method uses the real data and MathCad software for the calculus of polynomial functions that governs the graphic representation of economic sentiment trend under the positive evolution of the each of the four influencer indicators. The polynomial function was chosen by the author because of the incipient phase of research and the trends evolutions.

Keywords: economic sentiment indicator; management indicators; 3d graphical representation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:jes:eurint:y:2018:v:5:p:302-322

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