Determinants of U.S. health expenditure: Evidence from autoregressive distributed lag (ARDL) approach to cointegration
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- 作者：Vasudeva N.R. Murthya ; vmurthy@creighton.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Albert A. Okunadeb ; aokunade@memphis.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Error-correction ; Cointegration ; Health expenditure ; ARDL modelling
- 刊名：Economic Modelling
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：59
- 期：Complete
- 页码：67-73
- 全文大小：446 K
文摘
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The ARDL Bounds test was applied to1960–2012 U.S. health expenditure data series.
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Income, ageing population and health care technology significantly drive expenditures.
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0.92 income elasticity of health spending suggests that U.S. health care is a necessity.