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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

    ()

  • Alfred Haug

    ()

  • Mohammad Jaforullah

    ()

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.

(This abstract was borrowed from another version of this item.)

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Bibliographic Info

Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 34 (2010)
Issue (Month): 2 (October)
Pages: 99-110

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Handle: RePEc:kap:jproda:v:34:y:2010:i:2:p:99-110

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Web page: http://www.springerlink.com/link.asp?id=100296

Related research

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

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References

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  1. 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.
  2. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  3. 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.
  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. 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.
  6. Eric A. Hanushek, 2005. "The Economics of School Quality," German Economic Review, Verein für Socialpolitik, vol. 6(3), pages 269-286, 08.
  7. Simar, L., . "Aspects of statistical analysis in DEA-type frontier models," CORE Discussion Papers RP -1226, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
  9. Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
  10. SIMAR, Léopold & WILSON, Paul W., 1997. "Some problems with the Ferrier/Hirschberg bootstrap idea," CORE Discussion Papers 1997062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  11. 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.
  12. 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.
  13. 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.
  14. David Jesson, . "The Comparative Evaluation of GCSE Value-Added Performance by Type of School and LEA," Discussion Papers 00/52, Department of Economics, University of York.
  15. 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.
  16. 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.
  17. 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.
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Citations

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Cited by:
  1. 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.
  2. 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.
  3. Coco, Giuseppe & Lagravinese, Raffaele, 2014. "Cronyism and education performance," Economic Modelling, Elsevier, vol. 38(C), pages 443-450.
  4. 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.
  5. 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.
  6. Harrison, Julie & Rouse, Paul, 2014. "Competition and public high school performance," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 10-19.
  7. 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.

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