publication . Article . 2016

Influence Factors of the Economic Development Level Across European Countries

Diana Ioana POPA;
Open Access English
  • Published: 01 Jun 2016 Journal: Revista Română de Statistică (issn: 1018-046X, eissn: 1844-7694, Copyright policy)
  • Publisher: Romanian National Institute of Statistics
Abstract
The economic development level of a country refers to the measure of the progress in an economy that could be measured, especially through GDP or GDP per capita. The level of these indicators can be influenced by many factors as a large scale, from social and economical to environmental and government policies factors. The paper aims to investigate some of these influence factors of the economic development level, represented in this case by GDP per capita, across European countries in the context of the most recently crisis, named the Great Recession (2008) and after, when the economies are starting to recover (2013). Using linear regression in R (lm function),...
Subjects
free text keywords: Economic Development Level, Multiple Linear Regression, R, Statistics, HA1-4737
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1. Maindonald, J., Braun, W.J., 2010, Data Analysis and Graphics Using R - an Example-Based Approach, Third Edition, Cambridge University Press, New York, ISBN-13 978-0-511-71286-9

2. Caragea, Nicoleta & Alexandru, Ciprian Antoniade & Dobre, Ana Maria, 2012, “Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania,” MPRA Paper 48772, University Library of Munich, Germany. [OpenAIRE]

3. Dobre Ana Maria & Caragea Nicoleta & Alexandru Ciprian Antoniade, 2013, “R versus Other Statistical Software,” Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 484-488, May.

3. Nicoleta Caragea & Antoniade-Ciprian Alexandru & Ana Maria Dobre, 2014, “R - a Global Sensation in Data Science,” Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 7-16, June.

4. Caragea, N., 2015, Statistica - Concepte ú i metode de analiză a datelor, Editura Mustang, Bucureú ti, ISBN 978-606-652-063-8 ---

Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 9405 on 26 degrees of freedom Multiple R-squared: 0.7276, Adjusted R-squared: 0.6962 F-statistic: 23.15 on 3 and 26 DF, p-value: 1.645e-07

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