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Comment on estimating school efficiency

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  • Ruggiero, John

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  • Ruggiero, John, 2003. "Comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 631-634, December.
    • Handle: RePEc:eee:ecoedu:v:22:y:2003:i:6:p:631-634
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    References listed on IDEAS

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    1. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    2. Ruggiero, John, 1998. "A new approach for technical efficiency estimation in multiple output production," European Journal of Operational Research, Elsevier, vol. 111(2), pages 369-380, December.
    3. Ruggiero, John, 1996. "Efficiency of Educational Production: An Analysis of New York School Districts," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 499-509, August.
    4. Gyimah-Brempong, Kwabena & Gyapong, Anthony O., 1991. "Characteristics of education production functions: An application of canonical regression analysis," Economics of Education Review, Elsevier, vol. 10(1), pages 7-17, March.
    5. Ruggiero, John, 1999. "Efficiency estimation and error decomposition in the stochastic frontier model: A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 115(3), pages 555-563, June.
    6. Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
    7. Ondrich, Jan & Ruggiero, John, 2001. "Efficiency measurement in the stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 129(2), pages 434-442, March.
    8. Bifulco, Robert & Bretschneider, Stuart, 2001. "Estimating school efficiency: A comparison of methods using simulated data," Economics of Education Review, Elsevier, vol. 20(5), pages 417-429, October.
    9. Vinod, H. D., 1976. "Canonical ridge and econometrics of joint production," Journal of Econometrics, Elsevier, vol. 4(2), pages 147-166, May.
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    Cited by:

    1. David J. Mayston, 2017. "Data envelopment analysis, endogeneity and the quality frontier for public services," Annals of Operations Research, Springer, vol. 250(1), pages 185-203, March.
    2. Jose M. Cordero & Cristina Polo & Nickolaos G. Tzeremes, 2020. "Evaluating the efficiency of municipalities in the presence of unobserved heterogeneity," Journal of Productivity Analysis, Springer, vol. 53(3), pages 377-390, June.
    3. Christopher C. Klein, 2007. "Efficiency versus Effectiveness: Interpreting Education Production Studies," Working Papers 200703, Middle Tennessee State University, Department of Economics and Finance.
    4. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    5. Clint Chadwick & Ji-Young Ahn & Kiwook Kwon, 2012. "Human Resource Management’s Effects on Firm-Level Relative Efficiency," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 51(3), pages 704-730, July.
    6. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    7. David J. Mayston, 2015. "Data envelopment analysis, endogeneity and the quality frontier for public services," Discussion Papers 15/05, Department of Economics, University of York.
    8. Bifulco, Robert & Bretschneider, Stuart, 2003. "Response to comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 635-638, December.
    9. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    10. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.

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