Measuring health: A multivariate approach

Social Indicators Research

Volumn 96, Issue 3, 2010, Pages 433-457

  Klomp, Jeroen ^a   de Haan, Jakob ^a,b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b CESIFO   (Germany)

Author keywords

Cluster analysis; Factor analysis; Health

Indexed keywords

CLUSTER ANALYSIS; FACTOR ANALYSIS; HEALTH SERVICES; HEALTH STATUS;

EID: 77950340722     PISSN: 03038300     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11205-009-9486-x     Document Type: Article

References (23)

1. Charlton, J., Hartley, R., & Holland, W. (1983). Geographical variation in mortality from conditions amenable to medical intervention in England and Wales. Lancet, 8326, 691-696. doi: 10. 1016/S0140-6736(83)91981-5.
2. Cutler, D., Richardson, E., Keeler, T., & Staiger, D. (1997). Measuring the health of the US population. Brookings Papers on Economic Activity, 28, 217-282.
3. Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B, 39, 1-38.
4. Green, W. (2003). Econometric analysis. Upper Saddle River, New Jersey: Prentice Hall.
5. Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis. Upper Saddle River, New Jersey: Prentice Hall.
6. Häkkinen, U., & Joumard, I. (2007). Cross-country analysis of efficiency in OECD health care sectors: Options for research. OECD Economics Department Working Papers 554, OECD Paris.
7. Harris, C., & Kaiser, H. (1964). Oblique factor analytic solutions by orthogonal transformation. Psychometrika, 29, 347-362. doi: 10. 1007/BF02289601.
8. Heywood, H. (1931). On finite sequences of real numbers. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 134, 486-501. doi: 10. 1098/rspa. 1931. 0209.
9. Kaiser, H. (1970). A second generation little jiffy. Pshychometrika, 35, 401-415. doi: 10. 1007/BF02291817.
10. Kaiser, H., & Dickman, K. (1959). Analytic determination of common factors. The American Psychologist, 14, 425.
11. Klitgaard, R., & Fedderke, J. (1995). Social integration and disintegration: An exploratory analysis of cross-country data. World Development, 23, 357-369. doi: 10. 1016/0305-750X(94)00138-O.
12. Lake, D., & Baum, M. (2001). The invisible hand of democracy. Comparative Political Studies, 34, 587-621. doi: 10. 1177/0010414001034006001.
13. Lattin, J., Carrol, D., & Green, P. (2003). Analyzing multivariate data. Belmont, CA: Duxbury Press.
14. Milligan, G., & Cooper, M. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50, 159-179. doi: 10. 1007/BF02294245.
15. Mojena, R. (1977). Hierarchical grouping methods and stopping rule: An evaluation. The Computer Journal, 20, 359-363. doi: 10. 1093/comjnl/20. 4. 359.
16. Nolte, E., & McKee, C. (2003). Measuring the health of nations: Analysis of mortality amenable to health care. British Medical Journal, 327, 1129-1134. doi: 10. 1136/bmj. 327. 7424. 1129.
17. Nolte, E., & McKee, C. (2008). Measuring the health of nations: Updating an earlier analysis. Health Affairs, 27, 58-71. doi: 10. 1377/hlthaff. 27. 1. 58.
18. Pan American Health Organization. (2001). Investment in health. Scientific and Technical Publication 582, Washington DC.
19. Punj, G., & Stewart, J. (1983). Cluster analysis in marketing research: Review and suggestions for application. JMR, Journal of Marketing Research, 20, 134-148. doi: 10. 2307/3151680.
20. Wansbeek, T. J., & Meijer, E. (2000). Measurement error and latent variables in econometrics. Elsevier: Amsterdam.
21. World Health Organization. (1946). Constitution of the WHO. Available at http://www. who. int/trade/glossary/story046/en/index. html (Last assessed 10 Feb 2009).
22. World Bank. (2006). World Bank Development Indicators 2006. CD-Rom.
23. World Health Organization. (2007). WHO statistical information system.