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Influence Factors of the Economic Development Level Across European Countries

Author

Listed:
  • Diana Ioana POPA

    (National Institute of Statistics Romania)

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), the goal is to explain the relationship between the interest variable (GDP per capita) and certain independent variables. It is expected that even tough the estimators are to be different – as level – in both cases studied, the relationship type between them to be the same. The goodness of fit for the models used will be made based on ANOVA.

Suggested Citation

  • Diana Ioana POPA, 2016. "Influence Factors of the Economic Development Level Across European Countries," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 3-16, June.
    • Handle: RePEc:rsr:journl:v:64:y:2016:i:2:p:3-16
    as

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    File URL: http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A01.pdf
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    References listed on IDEAS

    as
    1. 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.
    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.
    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.
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    Cited by:

    1. Florin VADUVA & Rodica GHERGHINA & Ioana DUCA, 2017. "Orientation of Public Policy by Highlighting the Relationship between Economic Development, Education and Eco-Innovation in EU Countries," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 3-15, September.

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    More about this item

    Keywords

    Economic Development Level; Multiple Linear Regression; R;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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