Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > Korean J Prev Med > Volume 24(1); 1991 > Article
Original Article A quentitative model for the projection of health expenditure.
Han Joong Kim, Young Doo Lee, Chung Mo Nam
Journal of Preventive Medicine and Public Health 1991;24(1):29-36
DOI: https://doi.org/
  • 1,839 Views
  • 18 Download
  • 0 Crossref
  • 0 Scopus
Yonsei University College of Medicine, Korea.
prev next

A multiple regression analysis using ordinary least square (OLS) is frequently used for the projection of healt expenditure as well as for the identification of factors affecting health care costs. Data for the analysis often have mixed characteristics of time series and cross section. Parameters as a result of OLS estimation, in this case, are no longer the best linear unbiased estimators (BLUE) because the data do not satisfy basic assumptions of regression analysis. The study theoretically examined statistical problems induced when OLS estimation was applied with the time series cross section data. Then both the OLS regression and time series cross section regression (TSCS regression) were applied to the same empirical data. Finally, the difference in parameters between the two estimations were explained through residual analysis.

Related articles

JPMPH : Journal of Preventive Medicine and Public Health
TOP