Diana Ioana POPA (diana.popa@insse.ro)
National Institute of Statistics Romania/
MA in Statistics student – Bucharest University of Economic Studies
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.
Key words: Economic Development Level, Multiple Linear Regression, R
JEL Classification: C1, C6, O1
Romanian Statistical Review 2/2016
