The determinants of health-care expenditure: New results from semiparametric estimation

Health Economics

Volumn 19, Issue 8, 2010, Pages 964-978

  Herwartz, Helmut ^a   Theilen, Bernd ^b  

^a UNIVERSITY OF KIEL   (Germany)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

Health care expenditure; OECD panel data; Population age structure; Semiparametric estimation

Indexed keywords

AGE DISTRIBUTION; ARTICLE; ECONOMIC ASPECT; EXPLANATORY VARIABLE; HEALTH CARE COST; HEALTH CARE FINANCING; HUMAN; INCOME; PARAMETER; POLICY; PRIORITY JOURNAL; AGED; ECONOMICS; EUROPE; HEALTH CARE PLANNING; POPULATION DYNAMICS; STATISTICAL MODEL; UNITED STATES; VERY ELDERLY;

AGED; AGED, 80 AND OVER; EUROPE; HEALTH EXPENDITURES; HEALTH PLANNING; HUMANS; MODELS, ECONOMETRIC; POPULATION DYNAMICS; UNITED STATES;

EID: 77955672561     PISSN: 10579230     EISSN: 10991050     Source Type: Journal    
DOI: 10.1002/hec.1540     Document Type: Article

References (21)

1. Bago d'Uva T. 2005. Latent class models for use of primary care: evidence from a British panel. Health Economics 14: 873-892.
2. Blomqvist AG, Carter G. 1997. Is health care really a luxury? Journal of Health Economics 16: 207-229.
3. Boswijk HP. 1995. Efficient inference on cointegration parameters in structural error correction models. Journal of Econometrics 69: 133-158.
4. Dormont B, Grignon M, Huber H. 2006. Health expenditure growth: reassessing the thread of ageing. Health Economics 15: 947-963.
5. Gerdtham U-G, Sogaard J, Andersson F, Jonsson B. 1992. An econometric analysis of health care expenditure: a cross-section study of the OECD countries. Journal of Health Economics 11: 63-84.
6. Getzen TE. 2000. Health care is an individual necessity and a national luxury. Journal of Health Economics 19: 259-270.
7. Godfrey L. 1978. Testing against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables. Econometrica 46: 1293-1301.
8. Herwartz H, Theilen B. 2003. The determinants of health care expenditure: testing pooling restrictions in small samples. Health Economics 12: 113-124.
9. Herwartz H, Xu F. 2009a. A new approach to bootstrap inference in functional coefficient models. Computational Statistics and Data Analysis 53: 2155-2167.
10. Herwartz H, Xu F. 2009b. A functional coefficient model view of the Feldstein-Horioka puzzle). Journal of International Money and Finance, forthcoming. DOI: 10.1016/j.jimonfin.2008.12.001.
11. Hitiris T, Posnett J. 1992. The determinants and effects of health expenditure in developed countries. Journal of Health Economics 11: 173-181.
12. Johansen S. 1992. Cointegration in partial systems and the efficiency of single equation analysis. Journal of Econometrics 52: 389-402.
13. Nadaraya EA. 1964. On estimating regression. Theory of Probability and its Applications 9: 141-142.
14. Narayan PK. 2007. Do health expenditures 'catch-up'? Evidence from OECD countries. Health Economics 16: 993-1008.
15. Newhouse JP. 1987. Cross national differences in health spending: what do they mean? Journal of Health Economics 6: 159-162.
16. O'Connell JM. 1996. The relationship between health expenditure and the age structure of the population in OECD countries. Health Economics 5: 573-578.
17. Pesaran HH, Smith R. 1995. Estimating long run relations from dynamic heterogeneous panels. Journal of Econometrics 68: 79-113.
18. Stone M. 1974. Cross-validation choice and assessment of statistical predictions. Journal of the Royal Statistical Society, Series B 36: 111-147.
19. van Doorslaer El, Koolman X, Jones AM. 2004. Equity and health care explaining income-related inequalities in doctor utilization in Europe. Health Economics 13: 629-647.
20. Watson GS. 1964. Smooth regression analysis. Sankhya, Series A 26: 359-372.
21. Werblow A, Felder S, Zweifel P. 2007. Population ageing and health care expenditure: a school of 'red herrings'? Health Economics 16: 1109-1126.