On the relationship between selected socio-economic indicators and student performances in the PISA 2015 study

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dc.contributor.authorMazurek, Jiří
dc.contributor.authorMielcová, Elena
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2019-06-15T15:50:58Z
dc.date.available2019-06-15T15:50:58Z
dc.description.abstractThe main aim of this paper was to examine the relationship between the PISA (Programme for International Student Assessment) international study results of 15 and 16 years-old pupils from 2015 and a set of socio-economic indicators (on a national level) such as governments’ expenditures on primary education, gross domestic product per capita, the Democracy index compiled by the Economist Intelligence Unit, or primary teachers’ salaries. The study covered 71 countries or territories, including 34 OECD countries and their 37 non-OECD counterparts. The methods included multivariate linear models, models based on Törnquist functions, and cluster analysis. The main result of the study is that there exists a threshold in terms of GDP per capita and government expenditures on primary education per capita. Above the threshold, the higher GDP per capita or expenditures do not translate into the higher PISA scores. However, below this threshold, the opposite is true. Therefore, poorer and mainly non-OECD countries may achieve better student performances in PISA tests by increasing expenditures on primary education, while for student performances of the wealthy and mainly OECD countries expenditures are not a statistically significant factor. The division between OECD and non-OECD countries was also confirmed to be statistically significant by cluster analysis method. In addition, from linear multivariate models it was found that PISA scores were statistically significantly (and positively) related to the national GDP per capita, governments’ expenditures on primary education, and the Democracy index, while the influence of primary teachers’ salaries on PISA scores was found statistically insignificanten
dc.formattext
dc.identifier.doi10.15240/tul/001/2019-2-002
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/152593
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAfonso, A., & Aubyn, M. S. (2005). Non-parametric Approaches to Education and Health Expenditure Efficiency in the OECD. Journal of Applied Economics, 8(2), 227-246. https://dx.doi.org/10.2139/ssrn.498383.
dc.relation.isbasedonAfonso, A., & Aubyn, M. S. (2006). Cross-country efficiency of secondary education provision: a semi-parametric analysis with non-discretionary inputs. Economic Modeling, 23(3), 476-491. https://dx.doi.org/10.1016/j.econmod.2006.02.003.
dc.relation.isbasedonAgasisti, T. (2011). Performances and spending efficiency in higher education: A European comparison through non-parametric approaches. Education Economics, 19(2), 199-224. https://dx.doi.org/10.1080/09645290903094174.
dc.relation.isbasedonAgasisti, T. (2014). The Efficiency of Public Spending on Education: an empirical comparison of EU countries. European Journal of Education, 49(4), 543-557. https://dx.doi.org/10.1111/ejed.12069.
dc.relation.isbasedonAkiba, M., Chiu, Y.-L., Shimizu, K., & Liang, G. (2012) Teacher salary and national achievement: A cross-national analysis of 30 countries. International Journal of Educational Research, 53, 171-181. https://dx.doi.org/10.1016/j.ijer.2012.03.007.
dc.relation.isbasedonAristovnik, A., & Obadic, A. (2014). Measuring relative efficiency of secondary education in selected EU and OECD countries: the case of Slovenia and Croatia. Technological and Economic Development of Economy, 20(3), 419-433. https://dx.doi.org/10.3846/20294913.2014.880085.
dc.relation.isbasedonAubyn, M. S., Pina, Á., Garcia, F., & Pais, J. (2009). Study on the efficiency and effectiveness of public spending on tertiary education [Economics Papers, 390]. Brussels, European Committee. https://dx.doi.org/10.2765/30348.
dc.relation.isbasedonBrunello, G., & Rocco, L. (2013). The effect of migration on the school performance of natives: cross country evidence using PISA test scores. Economics of Education Review, 32, 234-246. https://dx.doi.org/10.1016/j.econedurev.2012.10.006.
dc.relation.isbasedonCarnoy, M., Beteille, T., Brodziak, I., Loyalka, P., & Luschei, T. (2009). Do Countries Paying Teachers Higher Relative Salaries Have Higher Student Mathematics Achievement? Teacher Education and Development Study in Mathematics (TEDS-M). Report for the International Association for the Evaluation of Educational Achievement (IEA).
dc.relation.isbasedonClements, B. (2002). How efficient is education spending in Europe? European Review of Economics and Finance, 1(1), 3-26.
dc.relation.isbasedonEducation at a Glance. (2016). Retrieved December 11, 2017, from http://www.oecd.org/education/skills-beyond-school/education-at-a-glance-2016-indicators.htm.
dc.relation.isbasedonEIU. (2017). Economic Intelligence Unit. Retrieved December 11, 2017, from https://www.eiu.com/public/topical_report.aspx?campaignid=DemocracyIndex2016.
dc.relation.isbasedonFlores, I. (2017). Modelling efficiency in education: how are European countries spending their budgets and what relation between money and performance. Sociologia, Problemas e Práticas, 83, 157-170. Retrieved December 11, 2017, from http://journals.openedition.org/spp/2764.
dc.relation.isbasedonFrench, J. J., French, A., & Li, W.-X. (2015). The relationship among cultural dimensions, education expenditure, and PISA performance. International Journal of Educational Development, 42, 25-34. https://dx.doi.org/10.1016/j.ijedudev.2015.02.010.
dc.relation.isbasedonGavurova, B., Kocisova, K., Belas, L., & Krajcik, V. (2017). Relative efficiency of government expenditure on secondary education. Journal of International Studies, 10(2), 329-343. https://dx.doi.org/10.14254/2071-8330.2017/10-2/23.
dc.relation.isbasedonHanushek, E. A. (1986). The economics of schooling: production and efficiency in the public schools. Journal of Economic Literature, 24(3), 1141-1178.
dc.relation.isbasedonHanushek, E. A., & Woessmann, L. (2011). The economics of international differences in educational achievement. In E. A. Hanushek, S. Machin, & L. Woessmann (Eds.), Handbook of the Economics of Education (pp. 89-200). Amsterdam: North Holland.
dc.relation.isbasedonHerrera, S., & Pang, G. (2005). Efficiency of Public Spending in Developing Countries: An Efficiency Frontier Approach. Washington, D.C.: World Bank Publications. https://doi.org/10.1596/1813-9450-3645.
dc.relation.isbasedonKanungo, T., Mount, D. M., Netanyahu, N. S., Piatko, S. D., Silverman R., & Wu, A. Y. (2002). An efficient k-means clustering algorithm: analysis and implementation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7), 881-892. https://dx.doi.org/10.1109/TPAMI.2002.1017616.
dc.relation.isbasedonKmenta, J. (1986). Elements of Econometrics (2nd ed.). New York: Macmillan.
dc.relation.isbasedonLockheed, M., & Hanushek, E. A. (1994). Concepts of educational efficiency and effectiveness. [Human Resources Development and Operations Policy Working Papers, No. HRO 24]. Washington, DC, World Bank.
dc.relation.isbasedonLorcu, F., & Acar Bolat, B. (2015). Comparison of secondary education PISA results in European member states and Turkey via DEA and SEM. Journal of WEI Business and Economics, 4(3), 7-17.
dc.relation.isbasedonMcKinsey & Company. (2010). Klesající výsledky českého základního a středního školství: fakta a řešení. Retrieved January 20, 2019, from https://www.mckinsey.com/cz/~/media/McKinsey/Locations/Europe%20and%20Middle%20East/Czech%20Republic/Our%20work/McKinsey_pro_bono_skolstvi.ashx.
dc.relation.isbasedonNicoletti, C., & Rabe, B. (2012). The effect of school resources on test scores in England. Research paper: Institute for Economic and Social Research. Retrieved December 11, 2017, from https://www.iser.essex.ac.uk/ publications/working-papers/iser/2012-13.pdf.
dc.relation.isbasedonPISA 2015. (2016). Results in Focus. Retrieved December 11, 2017, from https://www.oecd.org/pisa/pisa-2015-results-in-focus.pdf.
dc.relation.isbasedonRindermann, H., & Ceci, S. J. (2009). Educational policy and country outcomes in international cognitive competence studies. Perspectives on Psychological Science, 4(6), 551–577. https://dx.doi.org/10.1111/j.1745-6924.2009.01165.x.
dc.relation.isbasedonSutherland, D., Price, R., & Gonand, F. (2009). Improving public spending efficiency in primary and secondary education. OECD Journal: Economic Studies, 1, 1-30. https://dx.doi.org/10.1787/19952856.
dc.relation.isbasedonWaldfogel, J., & Zhai, F. (2008). Effects of Public Preschool Expenditures on the Test Scores of 4th Graders: Evidence from TIMSS. Educational Research and Evaluation, 14(1), 9-28. https://dx.doi.org/10.1080/13803610801896372.
dc.relation.isbasedonWorld Bank. (2017). Retrieved December 11, 2017, from https://data.worldbank.org/.
dc.relation.isbasedonWolff, E. N. (2015). Educational expenditures and student performance among OECD countries. Structural Change and Economic Dynamics, 33, 37-57. https://dx.doi.org/10.1016/j.strueco.2015.02.003.
dc.relation.isbasedonYorulmaz, Y. I., Colak, I., & Ekinci, C. E. (2017). An evaluation of PISA 2015 achievements of OECD countries within income distribution and education expenditures. Turkish Journal of Education, 6(4), 169-185. https://dx.doi.org/10.19128/turje.329755
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjecteducationen
dc.subjectPISA 2015en
dc.subjectprimary educationen
dc.subjectexpenditures on educationen
dc.subject.classificationI20
dc.titleOn the relationship between selected socio-economic indicators and student performances in the PISA 2015 studyen
dc.typeArticleen
local.accessopen
local.citation.epage39
local.citation.spage22
local.facultyFaculty of Economics
local.filenameEM_2_2019_02
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume22
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