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A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools

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  • W. Alexander

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  • Alfred Haug

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  • Mohammad Jaforullah

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Abstract

We conduct a two-stage (DEA and regression) analysis of the efficiency of New Zealand secondary schools. Unlike previous applications of two-stage semi-parametric modelling of the school Òproduction processÓ, we use Simar and WilsonÕs double bootstrap procedure, which permits valid inference in the presence of unknown serial correlation in the efficiency scores. We are therefore able to draw robust conclusions about a system that has undergone extensive reforms with respect to ideas high on the educational agenda such as decentralised school management and parental choice. Most importantly, we find that school type affects school efficiency and so too does teacher quality.
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Suggested Citation

  • W. Alexander & Alfred Haug & Mohammad Jaforullah, 2010. "A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools," Journal of Productivity Analysis, Springer, vol. 34(2), pages 99-110, October.
  • Handle: RePEc:kap:jproda:v:34:y:2010:i:2:p:99-110
    DOI: 10.1007/s11123-010-0173-3
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    References listed on IDEAS

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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. Maria Alberta Oliveira & Carlos Santos, 2005. "Assessing school efficiency in Portugal using FDH and bootstrapping," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 957-968.
    4. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December.
    5. Léopold Simar & Paul Wilson, 1999. "Some Problems with the Ferrier/Hirschberg Bootstrap Idea," Journal of Productivity Analysis, Springer, vol. 11(1), pages 67-80, February.
    6. SIMAR , Léopold, 1995. "Aspects of Statistical Analysis in DEA-Type Frontier Models," CORE Discussion Papers 1995061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    8. 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.
    9. Arie Y. Lewin & John W. Minton, 1986. "Determining Organizational Effectiveness: Another Look, and an Agenda for Research," Management Science, INFORMS, vol. 32(5), pages 514-538, May.
    10. David Jesson, "undated". "The Comparative Evaluation of GCSE Value-Added Performance by Type of School and LEA," Discussion Papers 00/52, Department of Economics, University of York.
    11. Grosskopf, Shawna & Hayes, Kathy J. & Taylor, Lori L. & Weber, William L., 2001. "On the Determinants of School District Efficiency: Competition and Monitoring," Journal of Urban Economics, Elsevier, vol. 49(3), pages 453-478, May.
    12. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    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. Eric A. Hanushek, 2005. "The Economics of School Quality," German Economic Review, Verein für Socialpolitik, vol. 6(3), pages 269-286, August.
    15. Bradley, Steve & Johnes, Geraint & Millington, Jim, 2001. "The effect of competition on the efficiency of secondary schools in England," European Journal of Operational Research, Elsevier, vol. 135(3), pages 545-568, December.
    16. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May.
    17. Alejandra Mizala & Pilar Romaguera & Dario Farren, 2002. "The technical efficiency of schools in Chile," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1533-1552.
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    Cited by:

    1. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    2. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    3. Tommaso Agasisti & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: An Overview of Methodological Approaches," JRC Working Papers JRC106681, Joint Research Centre (Seville site).
    4. Giuseppe Coco & Raffaele Lagravinese, 2012. "Incentive Effects on Efficiency in Education Systems’ Performance," Working Papers 270, ECINEQ, Society for the Study of Economic Inequality.
    5. Alfred A. Haug & Vincent C. Blackburn, 2013. "Efficiency Aspects of Government Secondary School Finances in New South Wales: Results from a Two-Stage Double-Bootstrap DEA at the School Level," Working Papers 1316, University of Otago, Department of Economics, revised Nov 2013.
    6. Sarmento, Joaquim Miranda & Renneboog, Luc & Verga-Matos, Pedro, 2017. "Measuring highway efficiency : A DEA approach and the Malquist index," Other publications TiSEM 23264815-321e-45a3-83ee-9, Tilburg University, School of Economics and Management.
    7. Coco, Giuseppe & Lagravinese, Raffaele, 2014. "Cronyism and education performance," Economic Modelling, Elsevier, vol. 38(C), pages 443-450.
    8. Jing Cao, Mun S. Ho, and Huifang Liang, 2016. "Household energy demand in Urban China: Accounting for regional prices and rapid income change," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    9. Nghiem, Son & Nguyen, Ha & Connelly, Luke, 2014. "The Efficiency of Australian Schools: Evidence from the NAPLAN Data 2009-2011," MPRA Paper 56231, University Library of Munich, Germany.
    10. Miningou, Élisé Wendlassida & Vierstraete, Valérie, 2013. "Households' living situation and the efficient provision of primary education in Burkina Faso," Economic Modelling, Elsevier, vol. 35(C), pages 910-917.
    11. Son Nghiem & Ha Trong Nguyen & Luke B. Connelly, 2016. "The Efficiency of Australian Schools: A Nationwide Analysis Using Gains in Test Scores of Students as Outputs," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 256-268, September.
    12. repec:spr:scient:v:89:y:2011:i:3:d:10.1007_s11192-011-0484-9 is not listed on IDEAS
    13. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    14. Arturo Haro-de-Rosario & Mª del Caba-Pérez & Leonardo Cazorla-Papis, 2014. "Efficiency of venture capital firms: evidence from Spain," Small Business Economics, Springer, vol. 43(1), pages 229-243, June.
    15. 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.
    16. Claudio Detotto & Manuela Pulina & Juan Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 103-121, October.
    17. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.
    18. repec:kap:jproda:v:48:y:2017:i:1:d:10.1007_s11123-017-0502-x is not listed on IDEAS
    19. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William Weber, 2015. "Centralized or decentralized control of school resources? A network model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 139-150, April.
    20. Tommaso Agasisti & Ralph Hippe & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: empirical analyses in Europe," JRC Working Papers JRC106678, Joint Research Centre (Seville site).
    21. Boon L Lee, 2012. "Efficiency and Productivity of Singapore's Manufacturing Sector 2001-2010: An analysis using Simar and Wilson's (2007) bootstrapped truncated approach," School of Economics and Finance Discussion Papers and Working Papers Series 283, School of Economics and Finance, Queensland University of Technology.
    22. Harrison, Julie & Rouse, Paul, 2014. "Competition and public high school performance," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 10-19.
    23. 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.

    More about this item

    Keywords

    Efficiency; Productivity; Double boot-strapping; School finance; C14; C15; H52; I22;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

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