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Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems

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  • William Greene

    (Department of Economics, Stern School of Business, New York University, New York, USA)

Abstract

The most commonly used approaches to parametric (stochastic frontier) analysis of efficiency in panel data, notably the fixed and random effects models, fail to distinguish between cross individual heterogeneity and inefficiency. This blending of effects is particularly problematic in the World Health Organization's (WHO) panel data set on health care delivery, which is a 191 country, 5-year panel. The wide variation in cultural and economic characteristics of the worldwide sample produces a large amount of unmeasured heterogeneity in the data. This study examines several alternative approaches to stochastic frontier analysis with panel data, and applies some of them to the WHO data. A more general, flexible model and several measured indicators of cross country heterogeneity are added to the analysis done by previous researchers. Results suggest that there is considerable heterogeneity that has masqueraded as inefficiency in other studies using the same data. Copyright © 2004 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/hec.938
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 13 (2004)
Issue (Month): 10 ()
Pages: 959-980

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Handle: RePEc:wly:hlthec:v:13:y:2004:i:10:p:959-980

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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References

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Citations

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Cited by:
  1. Matthias Walter, 2011. "Some Determinants of Cost Efficiency in German Public Transport," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 45(1), pages 1-20, January.
  2. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
  3. Rafael Sanchez & Francisca Pacheco, 2014. "A Longitudinal Parametric Approach to Estimate Local Government Efficiency," Working Papers wp_033, Adolfo Ibáñez University, School of Government.
  4. Dormont, Brigitte & Milcent, Carine, 2012. "Ownership and Hospital Productivity," Economics Papers from University Paris Dauphine 123456789/12066, Paris Dauphine University.
  5. Kopsakangas-Savolainen, Maria & Svento, Rauli, 2011. "Observed and unobserved heterogeneity in stochastic frontier models: An application to the electricity distribution industry," Energy Economics, Elsevier, vol. 33(2), pages 304-310, March.
  6. Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
  7. Kopsakangas-Savolainen, Maria & Svento, Rauli, 2010. "Comparing welfare effects of different regulation schemes: An application to the electricity distribution industry," Energy Policy, Elsevier, vol. 38(11), pages 7370-7377, November.
  8. Pablo Cos & Enrique Moral-Benito, 2014. "Determinants of health-system efficiency: evidence from OECD countries," International Journal of Health Care Finance and Economics, Springer, vol. 14(1), pages 69-93, March.
  9. Kopsakangas-Savolainen, Maria & Svento, Rauli, 2008. "Estimation of cost-effectiveness of the Finnish electricity distribution utilities," Energy Economics, Elsevier, vol. 30(2), pages 212-229, March.
  10. Farsi, Mehdi & Filippini, Massimo & Kuenzle, Michael, 2007. "Cost efficiency in the Swiss gas distribution sector," Energy Economics, Elsevier, vol. 29(1), pages 64-78, January.
  11. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
  12. Jorge E. Galán & Helena Veiga & Michael P. Wiper, 2012. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Statistics and Econometrics Working Papers ws121007, Universidad Carlos III, Departamento de Estadística y Econometría.
  13. Trigo Gamarra, Lucinda, 2008. "The effects of liberalization and deregulation on the performance of financial institutions: The case of the German life insurance market," Thuenen-Series of Applied Economic Theory 93, University of Rostock, Institute of Economics.
  14. Growitsch, Christian & Jamasb, Tooraj & Wetzel, Heike, 2012. "Efficiency effects of observed and unobserved heterogeneity: Evidence from Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 34(2), pages 542-548.
  15. Eduardo Fé, 2013. "Estimating production frontiers and efficiency when output is a discretely distributed economic bad," Journal of Productivity Analysis, Springer, vol. 39(3), pages 285-302, June.
  16. Massimo Filippini & William Greene, 2014. "Persistent and Transient Productive Inefficiency: A Maximum Simulated Likelihood Approach," CER-ETH Economics working paper series 14/197, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  17. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
  18. Louri, Helen & Peppas, Costas & Tsionas, Efthymios, 2006. "Foreign presence, technical efficiency and firm survival in Greece: a simultaneous equation model with latent variables approach," MPRA Paper 29274, University Library of Munich, Germany.
  19. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  20. Maura Francese & Marzia Romanelli, 2014. "Is there room for containing healthcare costs? An analysis of regional spending differentials in Italy," The European Journal of Health Economics, Springer, vol. 15(2), pages 117-132, March.
  21. Samuel Fankhauser & Thomas K.J. McDermott, 2013. "Understanding the adaptation deficit: why are poor countries more vulnerable to climate events than rich countries?," Grantham Research Institute on Climate Change and the Environment Working Papers 134, Grantham Research Institute on Climate Change and the Environment.
  22. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.

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