希腊的医疗支出:EVIEWS中使用Bootstrap模拟的多元最小二乘回归和协整分析

Eleftherios Giovanis
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摘要

本文探讨的因素是在最解释和有效的方式,以卫生支出在希腊作出贡献。采用了两种方法。估计了多元回归和矢量误差校正模型,以及用于定义其中顺序变量是平稳的单位根检验。由于可用的数据是每年的,并且捕获1985-2006年的小周期,因此样本很小,因此应用自举模拟来改进估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health Expenditures in Greece: A Multiple Least Squares Regression and Cointegration Analysis Using Bootstrap Simulation in EVIEWS
This paper examines the factors that are contributing at the most explained and efficient way to health expenditures in Greece. Two methods are applied. Multiple regressions and vector error correction models are estimated, as also unit root tests applied to define in which order variables are stationary. Because the available data are yearly and capture a small period from 1985-2006, so the sample is small, a bootstrap simulation is applied, to improve the estimations.
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