A quentitative model for the projection of health expenditure / 예방의학회지
Korean Journal of Preventive Medicine
; : 29-36, 1991.
Article
in Ko
| WPRIM
| ID: wpr-10485
Responsible library:
WPRO
ABSTRACT
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.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Health Care Costs
/
Health Expenditures
Type of study:
Health_economic_evaluation
/
Prognostic_studies
Language:
Ko
Journal:
Korean Journal of Preventive Medicine
Year:
1991
Type:
Article