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The efficiency of educational production: A comparison of the Nordic countries with other OECD countries

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  • Bogetoft, Peter
  • Heinesen, Eskil
  • Tranæs, Torben

Abstract

Focusing in particular on upper secondary education, this paper examines whether the relatively high level of expenditure on education in the Nordic countries is matched by high output from the educational sector, both in terms of student enrolment and indicators of output quality in the form of graduation/completion rates and expected earnings after completed education. We use data envelopment analysis (DEA) to compare (benchmark) the Nordic countries with a relevant group of rich OECD countries and calculate input efficiency scores for each country. We estimate a wide range of specifications in order to analyse different aspects of efficiency. In purely quantitative models (where inputs and outputs are expenditure and number of students at different levels of the educational system) and in models where graduation or completion rates are included as indicators of output quality, Finland is the most efficient Nordic country (often fully efficient), whereas Sweden and especially Norway and Denmark are clearly inefficient. However, using PISA test scores as indicators of student input quality in upper secondary education reduces the inefficiencies of these three countries. Also, when expected earnings after completed education are used as an indicator of output quality, all Nordic countries are estimated to be fully efficient (or nearly so).

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  • Bogetoft, Peter & Heinesen, Eskil & Tranæs, Torben, 2015. "The efficiency of educational production: A comparison of the Nordic countries with other OECD countries," Economic Modelling, Elsevier, vol. 50(C), pages 310-321.
  • Handle: RePEc:eee:ecmode:v:50:y:2015:i:c:p:310-321
    DOI: 10.1016/j.econmod.2015.06.025
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    2. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    3. Paolo Liberati & Raffaele Lagravinese & Giuliano Resce, 2017. "How Does Economic Social And Cultural Status Affect The Efficiency Of Educational Attainments? A Comparative Analysis On Pisa Results," Departmental Working Papers of Economics - University 'Roma Tre' 0217, Department of Economics - University Roma Tre.
    4. Aparicio, Juan & Santin, Daniel, 2018. "A note on measuring group performance over time with pseudo-panels," European Journal of Operational Research, Elsevier, vol. 267(1), pages 227-235.
    5. Stumbrienė, Dovilė & Želvys, Rimantas & Žilinskas, Julius & Dukynaitė, Rita & Jakaitienė, Audronė, 2022. "Efficiency and effectiveness analysis based on educational inclusion and fairness of European countries," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    6. Subal C. Kumbhakar & Norman V. Loayza & Vivian Norambuena, 2020. "International Benchmarking for Country Economic Diagnostics," Working Papers wp498, University of Chile, Department of Economics.
    7. Capasso, Salvatore & Kaisari, Maria & Kounetas, Konstantinos & Lainas, Elias, 2024. "School productive performance and technology gaps: New evidence from PISA 2018," Economic Modelling, Elsevier, vol. 131(C).
    8. Camanho, Ana S. & Stumbriene, Dovile & Barbosa, Flávia & Jakaitiene, Audrone, 2023. "The assessment of performance trends and convergence in education and training systems of European countries," European Journal of Operational Research, Elsevier, vol. 305(1), pages 356-372.
    9. Cordero, Jose Manuel & Polo, Cristina & Simancas, Rosa, 2022. "Assessing the efficiency of secondary schools: Evidence from OECD countries participating in PISA 2015," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. Kumbhakar,Subal C. & Loayza,Norman V. & Norambuena,Vivian, 2020. "International Benchmarking for Country Economic Diagnostics : A Stochastic Frontier Approach," Policy Research Working Paper Series 9304, The World Bank.
    11. Dovile Stumbriene & Ana S. Camanho & Audrone Jakaitiene, 2020. "The performance of education systems in the light of Europe 2020 strategy," Annals of Operations Research, Springer, vol. 288(2), pages 577-608, May.
    12. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    13. Aparicio, Juan & Ortiz, Lidia & Santín, Daniel, 2021. "Comparing group performance over time through the Luenberger productivity indicator: An application to school ownership in European countries," European Journal of Operational Research, Elsevier, vol. 294(2), pages 651-672.
    14. Henriques, C.O. & Marcenaro-Gutierrez, O.D., 2021. "Efficiency of secondary schools in Portugal: A novel DEA hybrid approach," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    15. Ece Ucar & E. Ertugrul Karsak, 2024. "Evaluating Educational Performance of OECD Countries with Common-Weight DEA-Based Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13673-13700, September.
    16. Sadaba, Barbara & Vujić, Sunčica & Maier, Sofia, 2024. "Characterizing the schooling cycle," Economic Modelling, Elsevier, vol. 132(C).
    17. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.
    18. Ahec Šonje, Amina & Deskar-Škrbić, Milan & Šonje, Velimir, 2018. "Efficiency of public expenditure on education: comparing Croatia with other NMS," MPRA Paper 85152, University Library of Munich, Germany, revised 10 Feb 2018.
    19. Torben M. Andersen & Giuseppe Bertola & John Driffill & Harold James & Hans-Werner Sinn & Jan-Egbert Sturm & Branko Uroševic, 2016. "Chapter 4: Denmark: Too Good to Be True?," EEAG Report on the European Economy, CESifo, vol. 0, pages 85-98, February.

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    More about this item

    Keywords

    Data envelopment analysis; Benchmarking; Upper secondary education; International comparisons;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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