Regression Analysis of Influencing Factors of Public Education in Hungary

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The education system in Hungary has been greatly criticized in the last decades regarding the standards and quality of education and its ignorance towards labour market demands. The present study focuses on factors affecting the quality of education. The first part of the research analyses the relationship between public education and competitiveness in Hungary. In the second part of the research, with the help of the linear regression model and of other statistical and mathematical tools, we tried to identify those explanatory variables which influence and mostly determine the quality of public education.

The quality of education was chosen as the dependent variable of the model. Based on the data of competency measurements in Hungary, we were able to identify two explanatory variables that would also highly satisfy the goodness of fit of the linear regression model. The educational funding rates (GDP-proportionate educational spending rate) and the number of students learning English language turned out to be the two significant explanatory variables. Results show that increasing the GDP-proportionate educational spending rate with only one per cent increases the average value of competency measures with 10.9571 points without any other variable changes. Also increasing the number of English language learners with one person increases the average value with 0.000177253 points with other variables remaining the same.

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  • Auxné B. I.; Balázsi I.; Lak Á.; Szabó V. (2011). Országos kompetenciamérés [National competency assessment] Országos jelentés [National report] OH 2012. 6–12.

  • Balázsi I.; Ostorics L.; Szalay B.; Szepesi I. (2010). PISA 2009 Összefoglaló jelentés [Summary report] Szövegértés tíz év távlatában [Reading comprehension throughout a decade] (OH Budapest). 9–47.

  • Dragomirescu-Găină Cătălin. (2015). An empirical inquiry into the determinants of public education spending in Europe IZA Journal of European Labor Studies DOI: 10.1186/s40174-015-0049-7

  • Dufrechou Paola Azar. (2016). The efficiency of public education spending in Latin America: A comparison to high-income countries. International Journal of Educational Development 49: 188–203.

  • Hunyadi L.; Vita L. (2008). Statisztika II. [Statistics II.]. Aula Kiadó.

  • Institute for Management Development. (2014). World Competitiveness Yearbook 2014 accessed from:; date of access: 2015.03.05.

  • Madaras Attila. (2015). A közoktatás finanszírozás-eredményességének összefüggései PhD értekezés [Correlations of the effectiveness of public education financing PhD dissertation]. Kaposvár.

  • Nemzetgazdasági Minisztérium: Versenyképességi helyzetértékelés a nemzetközi versenyképességi rangsorok alapján [Ministry of National Economy: Competitiveness assessment based on the international competitiveness rankings] – NGM 2011. 3–13 28.

  • Statisztikai Tájékoztató Oktatási Évkönyv [Statistical Yearbook on Education] 2012/2013 Nemzeti Erőforrás Minisztérium [Ministry of National Resources] 2013. 171–177.

  • Stiglitz J. E. (2000). A kormányzati szektor gazdaságtana [The economy of the government sector] KJK – Kerszöv 380–390.

  • The World Bank. (2015). Doing Business 2014 – Understanding regulations for small and medium-size enterprises accessed from:; date of access: 2016.02.05.

  • World Economic Forum. (2014). The Europe 2020 Competitiveness Report: Building a More Competitive Europe – WEF Geneva. 2014.

  • World Economic Forum. (2014). The Global Competitiveness Report 2014–2015 – WEF accessed from:; date of access: 2015.05.24.

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