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Efficiency Potential and Efficiency Variation in Norwegian Lower Secondary Schools

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  • Lars-Erik Borge
  • Linn Renée Naper

Abstract

The paper performs an efficiency analysis of the lower secondary school sector in Norway. The efficiency potential is calculated to 14 percent based on a DEA analysis with grades in core subjects (adjusted for student characteristics and family background) as outputs. The analysis of the determinants of efficiency indicates that a high level of municipal revenue, a high degree of party fragmentation, and a high share of socialists in the local council are associated with low educational efficiency. The negative effects of the share of socialists and party fragmentation seem to reflect both higher resource use and lower student performance.

Suggested Citation

  • Lars-Erik Borge & Linn Renée Naper, 2005. "Efficiency Potential and Efficiency Variation in Norwegian Lower Secondary Schools," CESifo Working Paper Series 1624, CESifo.
  • Handle: RePEc:ces:ceswps:_1624
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    Cited by:

    1. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    2. Carlsen, Fredrik & Langset, Bjørg & Rattsø, Jørn & Stambøl, Lasse, 2009. "Using survey data to study capitalization of local public services," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 688-695, November.
    3. Enrique J. Buch‐Gómez & Roberto Cabaleiro‐Casal, 2020. "Turnout, political strength, and cost efficiency in Spanish municipalities of the autonomous region of Galicia: Evidence from an alternative stochastic frontier approach," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 533-553, June.
    4. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    5. Lars-Erik Borge & Torberg Falch & Per Tovmo, 2008. "Public sector efficiency: the roles of political and budgetary institutions, fiscal capacity, and democratic participation," Public Choice, Springer, vol. 136(3), pages 475-495, September.
    6. Naper, Linn Renée, 2010. "Teacher hiring practices and educational efficiency," Economics of Education Review, Elsevier, vol. 29(4), pages 658-668, August.
    7. Lars-Erik Borge & Marianne Haraldsvik, 2009. "Efficiency potential and determinants of efficiency: an analysis of the care for the elderly sector in Norway," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(4), pages 468-486, August.
    8. Heijdra, Ben J. & Ligthart, Jenny E., 2010. "The Transitional Dynamics Of Fiscal Policy In Small Open Economies," Macroeconomic Dynamics, Cambridge University Press, vol. 14(1), pages 1-28, February.
    9. repec:dau:papers:123456789/179 is not listed on IDEAS
    10. Fredrik Carlsen & Jorn Rattso & Hildegunn E. Stokke, 2013. "Education, experience and dynamic urban wage premium," Working Paper Series 15213, Department of Economics, Norwegian University of Science and Technology.
    11. K. Kounetas & G. Androulakis & M. Kaisari & G. Manousakis, 2023. "Educational reforms and secondary school's efficiency performance in Greece: a bootstrap DEA and multilevel approach," Operational Research, Springer, vol. 23(1), pages 1-29, March.
    12. Asatryan, Zareh & Heinemann, Friedrich & Yeter, Mustafa & Rubio, Eulalia & Rinaldi, David & Zuleeg, Fabian, 2016. "Public sector reform: How the EU budget is used to encourage it. Study," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 147039.
    13. Yahia, F.B. & Essid, H., 2019. "Determinants of Tunisian Schools’ Efficiency: A DEA-Tobit Approach," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(1), pages 44-56, February.
    14. Borge, Lars-Erik & Rattsø, Jørn, 2008. "Property taxation as incentive for cost control: Empirical evidence for utility services in Norway," European Economic Review, Elsevier, vol. 52(6), pages 1035-1054, August.
    15. Revelli, Federico & Tovmo, Per, 2007. "Revealed yardstick competition: Local government efficiency patterns in Norway," Journal of Urban Economics, Elsevier, vol. 62(1), pages 121-134, July.
    16. Carlsen, Fredrik & Rattsø, Jørn & Stokke, Hildegunn E., 2016. "Education, experience, and urban wage premium," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 39-49.
    17. Rune Sørensen, 2014. "Political competition, party polarization, and government performance," Public Choice, Springer, vol. 161(3), pages 427-450, December.
    18. Jhorland Ayala‐García & Sandy Dall'erba, 2021. "The natural resource curse: Evidence from the Colombian municipalities," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 581-602, April.
    19. T Ncanywa, 2016. "The Dinaledi Intervention Program," Journal of Economics and Behavioral Studies, AMH International, vol. 8(4), pages 144-155.
    20. Tommaso Agasisti, 2014. "How does schools’ efficiency look like across Europe? An empirical analysis of Germany, Spain, France, Italy and UK using OECD PISA2012 data," Working papers 9, Società Italiana di Economia Pubblica.
    21. Niklas Potrafke, 2006. "Parties Matter in Allocating Expenditures: Evidence from Germany," Discussion Papers of DIW Berlin 652, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    educational efficiency; DEA analysis; determinants of efficiency; political and budgetary institutions;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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