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Assessing health efficiency across countries with a two-step and bootstrap analysis

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  • Antonio Afonso
  • Miguel St. Aubyn

Abstract

Regressing Data Envelopment Analysis (DEA) output efficiency scores on nondiscretionary variables, with a two-stage DEA/Tobit and bootstrap procedures, we show that health inefficiency in Organization for Economic Co-operation and Development (OECD) countries is related to Gross Domestic Product (GDP) per head, education level, obesity and smoking habits.

Suggested Citation

  • Antonio Afonso & Miguel St. Aubyn, 2011. "Assessing health efficiency across countries with a two-step and bootstrap analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1427-1430.
    • Handle: RePEc:taf:apeclt:v:18:y:2011:i:15:p:1427-1430
    DOI: 10.1080/13504851.2010.541149
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    References listed on IDEAS

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    1. António Afonso & Miguel St. Aubyn, 2006. "Relative Efficiency of Health Provision: a DEA Approach with Non-discretionary Inputs," Working Papers Department of Economics 2006/33, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    3. António Afonso & Ludger Schuknecht & Vito Tanzi, 2005. "Public sector efficiency: An international comparison," Public Choice, Springer, vol. 123(3), pages 321-347, June.
    4. Jean Spinks & Bruce Hollingsworth, 2009. "Cross-country comparisons of technical efficiency of health production: a demonstration of pitfalls," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 417-427.
    5. Ruggiero, John, 2004. "Performance evaluation when non-discretionary factors correlate with technical efficiency," European Journal of Operational Research, Elsevier, vol. 159(1), pages 250-257, November.
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