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Original Articles

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

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Pages 1427-1430 | Published online: 17 Mar 2011
 

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.

Acknowledgements

The authors are grateful to I. Joumard, K. Wendorff and the participants at workshops at the Zentrum für Europäische Wirtschaftsforschung (ZEW) and at the German Ministry of Finance for helpful comments. The opinions expressed herein are those of the authors and do not necessarily reflect those of the authors' employers.

Notes

1See Simar and Wilson (Citation2007).

2See Farrell (Citation1957) and Coelli et al. (Citation2005).

3See Ruggiero (Citation2004).

4Afonso and St. Aubyn (Citation2006) explain the algorithms (available on request), implemented in Matlab.

5Data sources are detailed in Afonso and St. Aubyn (Citation2006).

6See Afonso and St. Aubyn (Citation2006).

7Afonso and St. Aubyn (Citation2005) addressed health efficiency for 2000 without PCA. Countries labelled as efficient were in line with our results.

8Educational level, percentage of population that achieved tertiary education in 2000–2003; GDP per capita, PPP USD in 2003; obesity, percentage of obese population in 2002; smoking, percentage of population that consumed tobacco in 2003.

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