Literature DB >> 11105414

Managed care, deficit financing, and aggregate health care expenditure in the United States: a cointegration analysis.

N R Murthy1, A A Okunade.   

Abstract

We applied a battery of cointegration tests comprising those of Johansen and Juselius [19], Phillips and Hansen [35], and Engle and Granger [6], to model aggregate health care expenditure using 1960-96 US data. The existence of a stable long-run economic relationship or cointegration is confirmed, in the United States, between aggregate health care expenditure and real GDP, population age distribution, managed care enrollment, number of practicing physicians, and government deficits. The evidence of cointegration among these variables, chosen on the theoretical basis of prior studies, implies that while they are individually non-stationary in levels, together they are highly correlated and move, in the long run to form an economic equilibrium relationship of US aggregate health care expenditure. More specifically, and for the first time in this line of inquiry, (i) managed care enrollment is found to be negatively associated with the level of health care spending, (ii) supply disinduced demand effects of physicians tend to moderate health expenditure, and (iii) government deficit financing is positively related to health care spending. The observed sign and magnitude of the income coefficient are consistent with health care being a luxury good.

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Year:  2000        PMID: 11105414     DOI: 10.1023/a:1019066012984

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  14 in total

1.  Health spending, access, and outcomes: trends in industrialized countries.

Authors:  G F Anderson; J P Poullier
Journal:  Health Aff (Millwood)       Date:  1999 May-Jun       Impact factor: 6.301

2.  The cost and financing of health care.

Authors:  D M Cutler
Journal:  Am Econ Rev       Date:  1995-05

3.  The determinants of health care expenditure: a cointegration approach.

Authors:  P Hansen; A King
Journal:  J Health Econ       Date:  1996-02       Impact factor: 3.883

4.  Cross national differences in health spending. What do they mean?

Authors:  J P Newhouse
Journal:  J Health Econ       Date:  1987-06       Impact factor: 3.883

5.  An econometric analysis of health care expenditure: a cross-section study of the OECD countries.

Authors:  U G Gerdtham; J Søgaard; F Andersson; B Jönsson
Journal:  J Health Econ       Date:  1992-05       Impact factor: 3.883

6.  Health care expenditure inertia in the OECD countries: a heterogeneous analysis.

Authors:  A A Okunade; C Suraratdecha
Journal:  Health Care Manag Sci       Date:  2000-01

7.  The next ten years of health spending: what does the future hold? The Health Expenditures Projection Team.

Authors:  S Smith; M Freeland; S Heffler; D McKusick
Journal:  Health Aff (Millwood)       Date:  1998 Sep-Oct       Impact factor: 6.301

8.  National health spending trends, 1960-1993.

Authors:  K R Levit; C A Cowan; H C Lazenby; P A McDonnell; A L Sensenig; J M Stiller; D K Won
Journal:  Health Aff (Millwood)       Date:  1994       Impact factor: 6.301

9.  Medical-care expenditure: a cross-national survey.

Authors:  J P Newhouse
Journal:  J Hum Resour       Date:  1977

10.  Health insurance and the demand for medical care: evidence from a randomized experiment.

Authors:  W G Manning; J P Newhouse; N Duan; E B Keeler; A Leibowitz; M S Marquis
Journal:  Am Econ Rev       Date:  1987-06
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  11 in total

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7.  How relevant is environmental quality to per capita health expenditures? Empirical evidence from panel of developing countries.

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Journal:  Springerplus       Date:  2016-06-29

8.  Impact of macro-fiscal determinants on health financing: empirical evidence from low-and middle-income countries.

Authors:  Deepak Kumar Behera; Umakant Dash
Journal:  Glob Health Res Policy       Date:  2019-08-09

9.  Association of professional identity, job satisfaction and burnout with turnover intention among general practitioners in China: evidence from a national survey.

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10.  Factors influencing the work passion of Chinese community health service workers: an investigation in five provinces.

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Journal:  BMC Fam Pract       Date:  2014-05-01       Impact factor: 2.497

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