Determinants of health expenditure growth of the OECD countries: jackknife resampling plan estimates.
Health Care Manag Sci
; 7(3): 173-83, 2004 Aug.
Article
em En
| MEDLINE
| ID: mdl-15648560
ABSTRACT
Due to the lack of internal consistency across unit root and cointegration test methods for short time-series data, past research findings conflict on whether the OECD health expenditure data are stationary. Stationarity reasonably guarantees that the estimated OLS relationship is nonspurious. This paper departs from past investigations that applied asymptotic statistical tests of unit root to insufficient time-series lengths. Instead, data were calibrated in annual growth rates, in 5-year (1968-72, ..., 1993-97) partitions, for maximum likelihood estimation using flexible Box-Cox transformations model and bias-reducing jackknife resampling plan for data expansion. The drivers of OECD health care spending growth are economic and institutional. Findings from the growth convergence theory affirm that health care expenditure growth accords with conditional beta convergence. Statistical significance and optimal functional form models are not unique across the growth period models. Our findings exemplify the benefits of jackknife resampling plan for short data series, and caution researchers against imposing faulty functional forms and applying asymptotic statistical methods to short time-series regressions. Policy implications are discussed.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Projetos de Pesquisa
/
Países Desenvolvidos
/
Gastos em Saúde
Tipo de estudo:
Diagnostic_studies
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Health_economic_evaluation
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Prognostic_studies
Idioma:
En
Ano de publicação:
2004
Tipo de documento:
Article