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

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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 “production process”, we use Simar and Wilson’s 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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Notes

  1. See Simar and Wilson (1999a, b, 2000) and Kneip et al. (2003).

  2. Simar and Wilson (2007) state that 100 replications are “typically sufficient.” We experimented with 500 instead of 100 replications but found no improvements.

  3. We attempted 5,000 and 10,000 replications; however, regressions converged for about only half the replications.

  4. The authors would like to express their thanks to the staff of the Data Management Unit of The New Zealand Ministry of Education, especially Cheryl Remington and Amanda Borich, as well as to Senior Policy Analyst Martin Connelly, for their assistance.

  5. Because of the different possible ways they can be interpreted, our results do not allow us to suggest either increasing or decreasing preferential funding.

  6. The average school roll in our sample is only 732 and schools of over 2,000 students are very rare.

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Acknowledgments

The authors thank, without implicating, an anonymous referee of this journal for very helpful suggestions.

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Correspondence to W. Robert J. Alexander.

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Alexander, W.R.J., Haug, A.A. & Jaforullah, M. A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools. J Prod Anal 34, 99–110 (2010). https://doi.org/10.1007/s11123-010-0173-3

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