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Determinantes da Eficiência dos Gastos Públicos em Educação e Saúde: O caso do Ceará
[Measuring and Explaining the Local Government Efficiency in Ceara: Evidence from Education and Health]

Author

Listed:
  • Feitosa Lopes, Daniel Alisson
  • Neto, Nicolino Trompieri
  • Barbosa, Macelo Ponte
  • Holanda, Marcos Costa

Abstract

The main objective of this study is to assess the quality of municipal spending of the State of Ceara in education and health. Using the non-parametric methodology data envelopment analysis, efficiency rates are estimated, considering indicators of input and product. To do so, a bias correction proposed by Simar and Wilson (1998) is applied and estimated in rates, generating robust rankings of efficiency. Then applies a regression model with censored dependent variable (Tobit) in order to examine the impact of certain variables on the estimated efficiency rates. The main contribution of this work is to examine the determinants of the quality of public spending at the municipal level differentiating between products (inputs) offered to the population and results (outputs) effectively achieved by the municipal administrations, from the regression analysis perspective.

Suggested Citation

  • Feitosa Lopes, Daniel Alisson & Neto, Nicolino Trompieri & Barbosa, Macelo Ponte & Holanda, Marcos Costa, 2008. "Determinantes da Eficiência dos Gastos Públicos em Educação e Saúde: O caso do Ceará [Measuring and Explaining the Local Government Efficiency in Ceara: Evidence from Education and Health]," MPRA Paper 24533, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24533
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    References listed on IDEAS

    as
    1. 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.
    2. De Borger, Bruno & Kerstens, Kristiaan, 1996. "Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches," Regional Science and Urban Economics, Elsevier, vol. 26(2), pages 145-170, April.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. De Borger, B & Kerstens, K. & Moesen, W. & Vanneste, J., 1994. "Explaining Differences in Productive Efficiency: An Application to Belgian Municipalities," Public Choice, Springer, vol. 80(3-4), pages 339-358, September.
    5. 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.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    7. Antonio Afonso & Carla Scaglioni, 2005. "Public Services Efficiency Provision in Italian Regions: a Non-Parametric Analysis," Working Papers Department of Economics 2005/02, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Two-stages DEA;

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education

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