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Health Expenditures in Greece: A Multiple Least Squares Regression and Cointegration Analysis Using Bootstrap Simulation in EVIEWS

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  • Giovanis, Eleftherios

Abstract

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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File URL: http://mpra.ub.uni-muenchen.de/22327/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 22327.

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Date of creation: 2009
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Handle: RePEc:pra:mprapa:22327

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Related research

Keywords: health expenditures; bootstrapping regression; Ordinary Least Squares; Vector Error Correction Model; EVIEWS;

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  1. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  2. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
  3. Dreger, Christian & Reimers, Hans-Eggert, 2005. "Health Care Expenditures in OECD Countries: A Panel Unit Root and Cointegration Analysis," IZA Discussion Papers 1469, Institute for the Study of Labor (IZA).
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