Analysis of Europe 2020 Indicators Using Regression Analysis

Analýza indikátorů Evropa 2020 regresní analýzou

Dagmar Blatná and Lenka Hudrlíková

Acta Oeconomica Pragensia, 2014, vol. 2014, issue 1, 72-93

Abstract: Europe 2020 is a set of eight indicators used by the European Commission for monitoring headline targets of the Strategy for Smart, Sustainable and Inclusive Growth, which is considered to be the successor of the Lisbon Strategy. Values of these indicators vary among the European countries. Because some countries can be identified as outliers, robust regression as an acceptable analytic tool was applied. The aim of the paper is to construct relevant regression models for each Europe 2020 indicator as a dependent variable. The targets of the Europe 2020 indicators can be achieved by targeting some specific economic, social and environmental indicators.

Keywords: Europe 2020 indicators; regression; LS regression; robust regression; outliers (search for similar items in EconPapers)
JEL-codes: C49 O10 O57 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://aop.vse.cz/doi/10.18267/j.aop.427.html (text/html)
http://aop.vse.cz/doi/10.18267/j.aop.427.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prg:jnlaop:v:2014:y:2014:i:1:id:427:p:72-93

Ordering information: This journal article can be ordered from
Redakce Acta Oeconomica Pragensia, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
http://aop.vse.cz

DOI: 10.18267/j.aop.427

Access Statistics for this article

Acta Oeconomica Pragensia is currently edited by Klára Šimůnková

More articles in Acta Oeconomica Pragensia from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().