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International cross-section analysis of the determination of mortality

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  • Gravelle, H.S.E.
  • Backhouse, M.E.

Abstract

An essential ingredient in the evaluation of policies concerning health services is knowledge of the impact of health services and other factors on the health of the population. One method of obtaining this information is from the regression analysis of international cross-section data on mortality rates, health service provision, income levels, consumption patterns, and other variables hypothesised to affect population health. The investigation of the determinants of population health is in many ways akin to the estimation of production functions which describe the relationship between the output of goods or services and the mix of inputs used in their production. The purpose of our paper is to use this analogy to discuss, and provide examples of, the problems which arise with the statistical investigation of mortality rates. Issues raised include simultaneous equation bias, multicollinearity, selection of explanatory variables, omitted variable bias, definition and measurement of variables, functional forms, lagged relationships and temporal stability. These problems are illustrated by replication and re-analysis, using new data, of the well known study by Cochrane, St Leger and Moore.

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Bibliographic Info

Article provided by Elsevier in its journal Social Science & Medicine.

Volume (Year): 25 (1987)
Issue (Month): 5 (January)
Pages: 427-441

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Handle: RePEc:eee:socmed:v:25:y:1987:i:5:p:427-441

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Keywords: mortality regression analysis production function;

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Cited by:
  1. Richard Heijink & Xander Koolman & Gert Westert, 2013. "Spending more money, saving more lives? The relationship between avoidable mortality and healthcare spending in 14 countries," The European Journal of Health Economics, Springer, vol. 14(3), pages 527-538, June.
  2. Rice, N & Robone, S & Smith, P.C, 2008. "International Comparison of Public Sector Performance: The Use of Anchoring Vignettes to adjust Self-Reported Data," Health, Econometrics and Data Group (HEDG) Working Papers 08/28, HEDG, c/o Department of Economics, University of York.
  3. Stephen Martin & Nigel Rice & Peter C Smith, 2007. "Further evidence on the link between health care spending and health outcomes in England," Working Papers 032cherp, Centre for Health Economics, University of York.
  4. Martin, Stephen & Rice, Nigel & Smith, Peter C., 2008. "Does health care spending improve health outcomes? Evidence from English programme budgeting data," Journal of Health Economics, Elsevier, vol. 27(4), pages 826-842, July.
  5. Cacace, Mirella & Ettelt, Stefanie & Mays, Nicholas & Nolte, Ellen, 2013. "Assessing quality in cross-country comparisons of health systems and policies: Towards a set of generic quality criteria," Health Policy, Elsevier, vol. 112(1), pages 156-162.
  6. Jennifer Franz & Felix R. FitzRoy, 2005. "Child mortaility, poverty and environment in developing countries," Discussion Paper Series, Department of Economics 200518, Department of Economics, University of St. Andrews.
  7. Stephen Martin & Nigel Rice & Peter C Smith, 2008. "The link between health care spending and health outcomes for the new English Primary Care Trusts," Working Papers 042cherp, Centre for Health Economics, University of York.
  8. Stephen Martin & Nigel Rice & Peter C Smith, 2007. "The Link Between Health Care Spending and Health Outcomes: Evidence from English Programme Budgeting Data," Working Papers 024cherp, Centre for Health Economics, University of York.

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