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Measuring health production performance in the OECD

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  • Jaume Puig-Junoy

Abstract

This paper contributes to the estimation of the best practice frontier in health production in the OECD countries at the aggregate level, in the tradition of the concept of health production function originally developed by Grossman. Estimates of technical efficiency for the OECD countries, decomposed into their components of pure technical efficiency and scale efficiency, using a nonparametric method (Data Envelopment Analysis) are presented. In a two-stage approach, differences in efficiency scores are attributed to environmental factors using a stochastic censored regression model.

Suggested Citation

  • Jaume Puig-Junoy, 1998. "Measuring health production performance in the OECD," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 255-259.
  • Handle: RePEc:taf:apeclt:v:5:y:1998:i:4:p:255-259
    DOI: 10.1080/135048598354933
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    Citations

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    Cited by:

    1. Ana Poças & Elias Soukiazis, 2010. "Health Status Determinants in the OECD Countries. A Panel Data Approach with Endogenous Regressors," GEMF Working Papers 2010-04, GEMF, Faculty of Economics, University of Coimbra.
    2. Erika Laranjeira & Helena Szrek, 2016. "Going beyond life expectancy in assessments of health systems’ performance: life expectancy adjusted by perceived health status," International Journal of Health Economics and Management, Springer, vol. 16(2), pages 133-161, June.
    3. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    4. Ng, Ying Chu, 2008. "The Productive Efficiency of the Health Care Sector of China," The Review of Regional Studies, Southern Regional Science Association, vol. 38(3), pages 381-393.
    5. Helvoigt, Ted L. & Adams, Darius M., 2009. "A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry," Forest Policy and Economics, Elsevier, vol. 11(4), pages 280-287, July.
    6. Tang, Kam Ki & Petrie, Dennis & Rao, D.S. Prasada, 2009. "The income-climate trap of health development: A comparative analysis of African and Non-African countries," Social Science & Medicine, Elsevier, vol. 69(7), pages 1099-1106, October.
    7. Seijas Díaz , Amparo & Iglesias Gómez , Guillermo, 2013. "Evolution of productivity and relation with satisfaction in hospital care and specialized care of Autonomous Communities Health Systems," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 27, pages 7-32.
    8. Varabyova, Yauheniya & Müller, Julia-Maria, 2016. "The efficiency of health care production in OECD countries: A systematic review and meta-analysis of cross-country comparisons," Health Policy, Elsevier, vol. 120(3), pages 252-263.
    9. Halicioglu, Ferda, 2011. "Modeling life expectancy in Turkey," Economic Modelling, Elsevier, vol. 28(5), pages 2075-2082, September.
    10. Nolan, J. F. & Ritchie, P. C. & Rowcroft, J. E., 2002. "Identifying and measuring public policy goals: ISTEA and the US bus transit industry," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 291-304, July.
    11. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    12. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    13. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.

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