Chapter 1 - International Comparisons of Health Expenditure: Theory, Data and Econometric Analysis*

https://doi.org/10.1016/S1574-0064(00)80160-2Get rights and content

Abstract

Comparisons of aggregate health expenditure across different countries have become popular over the last three decades as they permit a systematic investigation of the impact of different institutional regimes and other explanatory variables. Over the years, several regression analyses based on cross-section and panel data have been used to explain the international differences in health expenditure. A common result of these studies is that aggregate income appears to be the most important factor explaining health expenditure variation between countries and that the size of the estimated income elasticity is high and even higher than unity which in that case indicates that health care is a “luxury” good. Additional results indicates, for example, that the use of primary care “gatekeepers” lowers health expenditure and also that the way of remunerating physicians in the ambulatory care sector appears to influence health expenditure; capitation systems tend to lead to lower expenditure than fee-for-service systems. Finally, we also list some issues for the future. We demand more efforts on theory of the macroeconomic analysis of health expenditure, which is underdeveloped at least relative to the macroeconometrics of health expenditure. We also demand more replications based on updated data and methods that seeks to unify the many differing results of previous studies.

Section snippets

Background and overview

The growth of health expenditure and of its share in Gross Domestic Product (GDP) is a phenomenon which is constantly the subject of comments and discussions among politicians, administrators and academics in many countries. One approach to this issue has been international comparisons of health expenditure. There are substantial differences in health expenditure across countries, irrespective of how they are measured. This is even true among the relatively homogeneous industrialized market

Cross-section bivariate regressions

The analysis of international health expenditure has to some extent been based on standard demand theory, typically focusing on the income elasticity of health expenditure estimated in functions linking per capita health expenditure (henceforth HE) to per capita GDP (henceforth GDP).

Methods

Panel data [Greene (1993)] enable one to test for country and time-invariant effects and carry out appropriate estimation in their presence. The error term in a typical panel data model is of the form: ɛit + μi + θt, where μ is the country-specific term and θ is the time-specific term. Different ways of modeling these country and time-specific terms give rise to different panel data models. Running a simple least squares (OLS) regression assumes that μi = 0 and θt = 0. A fixed-effects model

Summary and concluding remarks

This chapter has reviewed the literature on international comparisons of health expenditure which has attracted considerable interest inside and outside health economics during the last three decades. One reason for this interest is the large cross-country differences in health expenditure and the opportunity for analyzing institutional arrangements influencing the demand, funding and delivery of health services in different countries. It is intriguing to ask: Does the organization of the

References (107)

  • HansenP. et al.

    Health care expenditure and GDP: panel data unit root test results — comment

    Journal of Health Economics

    (1998)
  • HitirisT. et al.

    The determinants and effects of health expenditure in developed countries

    Journal of Health Economics

    (1992)
  • LeuR.E. et al.

    Does smoking increase medical care expenditures?

    Social Science of Medicine

    (1983)
  • McCoskeyS.K. et al.

    Health care expenditure and GDP: Panel data unit root test results

    Journal of Health Economics

    (1998)
  • MurthyV.N.R.

    Conversion factor instability in international comparisons of health care expenditure: some econometric comments

    Journal of Health Economics

    (1992)
  • NewhouseJ.P.

    Cross-national differences in health spending: what do they mean?

    Journal of Health Economics

    (1987)
  • ParkinD. et al.

    Aggregate health expenditures and national income: is health care a luxury good?

    Journal of Health Economics

    (1987)
  • PerronP.

    Trend and random walks in macroeconomic timeseries: further evidence from a new approach

    Journal of Economic Dynamics and Control

    (1988)
  • PesaranM.H. et al.

    Estimating long-run relationships from dynamic heterogeneous panels

    Journal of Econometrics

    (1995)
  • PhillipsP.C.B.

    Understanding spurious regressions in econometrics

    Journal of Econometrics

    (1986)
  • SahnD.E.

    Public expenditures in sub-saharan Africa during a period of economic reforms

    World Development

    (1992)
  • Abel-SmithB.

    An International Study of Health Expenditure

    (1967)
  • AndersenR. et al.

    Factors affecting the relationship between family income and medical care consumption

  • BaltagiB.H.

    Econometric Analysis of Panel Data

    (1995)
  • BanerjeeA. et al.

    Co-Integration, Error-Correction, and the Econometric Analysis of Non-Stationary Data

    (1993)
  • BarrN.

    Economic theory and the welfare state: a survey and interpretation

    Journal of Economic Literature

    (1992)
  • BarrosP.P.

    The black-box of health care expenditure growth determinants

    Health Economics

    (1998)
  • BerkM.L.

    The concentration of health expenditures: an update

    Health Affairs

    (1992)
  • BesleyT. et al.

    Alternative systems of health care

    Economic Policy

    (1994)
  • BirdR.M.

    The growth of government spending in Canada

  • BoxG.E.P. et al.

    An analysis of transformations

    Journal of the Royal Statistical Society

    (1964)
  • BreuschT.S. et al.

    The Lagrange multiplier test and its application to model specification in econometrics

    Review of Economic Studies

    (1980)
  • BuchananJ.M.

    The Inconsistencies of the National Health Service

    (1965)
  • CampbellJ.Y. et al.

    Pitfalls and opportunities: what macroeconomists should know about unit roots

    National Bureau of Economics Research, Macroeconomics Annual

    (1991)
  • CarlsenF. et al.

    More physicians: improved availability or induced demand

    Health Economics

    (1998)
  • CulyerA.J.

    Health expenditures in Canada: myth and reality; past and future

  • CulyerA.J.

    Cost containment in Europe

    Health Care Financing Review (Annual Supplement)

    (1989)
  • DunneJ.P. et al.

    Needs costs and bureaucracy: the allocation of public consumption in the UK

    Economic Journal

    (1984)
  • EnggardK.

    Sundhedssektoren i Danmark er ikke billigere

    Indenrigsministeriet 2 Okt. 1986

    (1986)
  • EngleR. et al.

    Co-integration and error correction: Representation, Estimation and Testing

    Econometrica

    (1987)
  • EvansR.G.

    Supplier-induced demand: some empirical evidence and implications

  • FuchsV.

    The basic forces influencing costs of medical care

  • GerdthamU.-G.

    Pooling international health expenditure data

    Health Economics

    (1992)
  • GerdthamU.-G. et al.

    Price and quantity in international comparisons of health care expenditure

    Applied Economics

    (1991)
  • GerdthamU.-G. et al.

    Econometric analyses of health care expenditures: a cross-section study of the OECD countries

  • GerdthamU.-G. et al.

    A pooled cross-section analysis of the health expenditure of the OECD countries

  • GerdthamU.-G. et al.

    The determinants of health expenditure in the OECD countries

  • GreeneW.

    Econometric Analysis

    (1990)
  • GreeneW.

    Econometric Analysis

    (1993)
  • GrossmanM.

    The Demand for Health: a Theoretical and Empirical Investigation

    (1972)
  • Cited by (284)

    • Government healthcare spending in times of economic sanctions

      2024, Global Security - Health, Science and Policy
    View all citing articles on Scopus
    *

    We are grateful to Martin Chalkley, Tony Culyer, Eddy van Doorslaer, Joe Newhouse, Albert Okunade and Tom Philipson for helpful comments.

    View full text