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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 lower secondary schools in Norway. The efficiency potential is calculated as 14%, 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, 2006. "Efficiency Potential and Efficiency Variation in Norwegian Lower Secondary Schools," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 62(2), pages 221-249, June.
    • Handle: RePEc:mhr:finarc:urn:sici:0015-2218(200606)62:2_221:epaevi_2.0.tx_2-9
    DOI: 10.1628/001522106X120677
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    References listed on IDEAS

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    1. D. S. Prasada Rao & Bart van Ark, 2013. "Introduction," Chapters,in: World Economic Performance, chapter 1, pages 1-6 Edward Elgar Publishing.
    2. Borge, Lars-Erik, 2000. "Charging for public services: the case of utilities in Norwegian local governments," Regional Science and Urban Economics, Elsevier, vol. 30(6), pages 703-718, December.
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    5. Hanushek, Eric A., 2002. "Publicly provided education," Handbook of Public Economics,in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 30, pages 2045-2141 Elsevier.
    6. Bonesronning, Hans & Rattso, Jorn, 1994. "Efficiency variation among the Norwegian High Schools: Consequences of equalization policy," Economics of Education Review, Elsevier, vol. 13(4), pages 289-304.
    7. Torbjørn Hægeland & Oddbjørn Raaum & Kjell G. Salvanes, 2004. "Pupil achievement, school resources and family backgr," Discussion Papers 397, Statistics Norway, Research Department.
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    9. Duncombe, William & Miner, Jerry & Ruggiero, John, 1997. "Empirical Evaluation of Bureaucratic Models of Inefficiency," Public Choice, Springer, vol. 93(1-2), pages 1-18, October.
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    13. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    14. Borge, Lars-Erik, 2005. "Strong politicians, small deficits: evidence from Norwegian local governments," European Journal of Political Economy, Elsevier, vol. 21(2), pages 325-344, June.
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    Cited by:

    1. 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.
    2. Naper, Linn Renée, 2010. "Teacher hiring practices and educational efficiency," Economics of Education Review, Elsevier, vol. 29(4), pages 658-668, August.
    3. 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.
    4. repec:dau:papers:123456789/179 is not listed on IDEAS
    5. 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research, number 147039.
    6. 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.
    7. 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.
    8. 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.
    9. Niklas Potrafke, 2006. "Parties Matter in Allocating Expenditures: Evidence from Germany," Discussion Papers of DIW Berlin 652, DIW Berlin, German Institute for Economic Research.
    10. 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.
    11. 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.
    12. 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.
    13. Lars-Erik Borge & Marianne Haraldsvik, 2009. "Efficiency potential and determinants of efficiency: An analysis of the care of elderly sector in Norway," Working Paper Series 10109, Department of Economics, Norwegian University of Science and Technology.
    14. 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.
    15. Rune Sørensen, 2014. "Political competition, party polarization, and government performance," Public Choice, Springer, vol. 161(3), pages 427-450, December.

    More about this item

    Keywords

    educational efficiency; DEA analysis; determinants of efficiency; political and budgetary institutions;

    JEL classification:

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

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