1 |
Riley MW. On the significance of age in sociology. Am Sociol Rev 1987;52(1):1-14. DOI: https://doi.org/10.2307/2095388.
DOI
|
2 |
Kramer M. The rising pandemic of mental disorders and associated chronic diseases and disabilities. Acta Psychiatrica Scandinavica 1980;62(S285):382-397. DOI: https://doi.org/10.1111/j.1600-0447.1980.tb07714.x.
DOI
|
3 |
Crimmins EM, Hayward MD, Saito Y. Changing mortality and morbidity rates and the health status and life expectancy of the older population. Demography 1994;31(1):159-175. DOI: https://doi.org/10.2307/2061913.
DOI
|
4 |
Getzen TE. Population aging and the growth of health expenditures. J Gerontol 1992;47(3):S98-S104. DOI: https://doi.org/10.1093/geronj/47.3.s98.
DOI
|
5 |
Gerdtham UG, Sogaard J, Andersson F, Jonsson B. An econometric analysis of health care expenditure: a cross-section study of the OECD countries. J Health Econ 1992;11(1):63-84. DOI: https://doi.org/10.1016/0167-6296(92)90025-v.
DOI
|
6 |
Schneider EL, Guralnik JM. The aging of America: impact on health care costs. JAMA 1990;263(17):2335-2340. DOI: https://doi.org/10.1001/jama.1990.03440170057036.
DOI
|
7 |
Kim JS. The healthcare expenditures increase of elderly people and the efficient management. Health Welf Issue Focus 2011;(114):1-8.
|
8 |
Park JK, Yoon YJ, Shin DJ, Jang IS, Hwang JR, Kim HS, et al. Forecasting long-term financing in 2012-2060. Seoul: National Assembly Budget Office; 2012.
|
9 |
Lee EK. Population ageing and healthcare expenditures of the elderly. Sejong: Korea Institute of Public Finance; 2011.
|
10 |
Fries JF. Aging, natural death, and the compression of morbidity. N Engl J Med 1980;303(3):130-135. DOI: https://doi.org/10.1056/nejm198007173030304.
DOI
|
11 |
Organization for Economic Cooperation and Development. Projecting OECD health and long-term care expenditures: what are the main drivers? Paris: Organization for Economic Cooperation and Development; 2006.
|
12 |
Fries JF. Compression of morbidity in the elderly. Vaccine 2000;18(16):1584-1589. DOI: https://doi.org/10.1016/s0264-410x(99)00490-9.
DOI
|
13 |
Przywara B. Projecting future health care expenditure at European level: drivers, methodology and main results. Brussel: European Union; 2010.
|
14 |
Lubitz JD, Riley GF. Trends in Medicare payments in the last year of life. N Engl J Med 1993;328(15):1092-1096. DOI: https://doi.org/10.1056/nejm199304153281506.
DOI
|
15 |
Cutler DM, Sheiner L. Demographics and medical care spending: standard and non-standard effects. In: Auerbach AJ, Lee RD, editors. Demographic change and fiscal policy. Cambridge (NY): Cambridge University Press; 2001. pp. 253-291.
|
16 |
Norton EC. Long-term care. In: Culyer AJ, Newhouse JP, editors. Handbook of health economics volume 1B. Amsterdam: North Holland Publ. Co.; 2000. pp. 956-994.
|
17 |
Jeong HS, Song YM, Lee KS. Aging and health care expenditure. Korean J Health Econ Policy 2007;13(1):95-116.
|
18 |
Yang Y, Land KC. Age-period-cohort analysis: new models, methods, and empirical applications. Boca Raton (FL): CRC Press; 2013.
|
19 |
Chung WK. Medical expenditure at end-of-life. Korean J Health Econ Policy 2012;18(4):149-168.
|
20 |
Organization for Economic Cooperation and Development. Statistical terms: handbook of vital statistics systems and methods [Internet]. New York (NY): United Nations; 1991 [cited 2016 Oct 18]. Available from: https://stats.oecd.org/glossary/detail.asp?ID=376.
|
21 |
Fukuda K. An empirical analysis of US and Japanese health insurance using age-period-cohort decomposition. Health Econ 2007;16(5):475-489. DOI: https://doi.org/10.1002/hec.1179.
DOI
|
22 |
Jung J, Tran C. Medical consumption over the life cycle. Empir Econ 2014;47(3):927-957. DOI: https://doi.org/10.1007/s00181-013-0774-6.
DOI
|
23 |
Breyer F, Lorenz N, Niebel T. Health care expenditures and longevity: is there a Eubie Blake effect? Eur J Health Econ 2015;16(1):95-112. DOI: https://doi.org/10.1007/s10198-014-0564-x.
DOI
|
24 |
Spillman BC, Lubitz J. The effect of longevity on spending for acute and long-term care. N Engl J Med 2000;342(19):1409-1415. DOI: https://doi.org/10.1056/nejm200005113421906.
DOI
|
25 |
Di Matteo L. The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time. Health Policy 2005;71(1):23-42. DOI: https://doi.org/10.1016/j.healthpol.2004.05.007.
DOI
|
26 |
Hobcraft J, Menken J, Preston S. Age, period, and cohort effects in demography: a review. Popul Index 1982;48(1):4-43. DOI: https://doi.org/10.2307/2736356.
DOI
|
27 |
Robertson C, Gandini S, Boyle P. Age-period-cohort models: a comparative study of available methodologies. J Clin Epidemiol 1999;52(6):569-583. DOI: https://doi.org/10.1016/s0895-4356(99)00033-5.
DOI
|
28 |
Yang Y, Schulhofer-Wohl S, Fu WJ, Land KC. The intrinsic estimator for age-period-cohort analysis: what it is and how to use it. Am J Sociol 2008;113(6):1697-1736. DOI: https://doi.org/10.1086/587154.
DOI
|
29 |
Starling RD. Energy expenditure and aging: effects of physical activity. Int J Sport Nutr Exerc Metab 2001;11 Suppl:S208-S217.
|
30 |
Heo J, Jeon SY, Oh CM, Hwang J, Oh J, Cho Y. The unrealized potential: cohort effects and age-period-cohort analysis. Epidemiol Health 2017;39:e2017056. DOI: https://doi.org/10.4178/epih.e2017056.
DOI
|
31 |
Allman-Farinelli MA, Chey T, Bauman AE, Gill T, James WP. Age, period and birth cohort effects on prevalence of overweight and obesity in Australian adults from 1990 to 2000. Eur J Clin Nutr 2008;62(7):898-907. DOI: https://doi.org/10.1038/sj.ejcn.1602769.
DOI
|
32 |
Glenn ND. Cohort analysis. Beverly Hills (CA): Sage Publications; 1977.
|
33 |
Deaton A. Panel data from time series of cross-sections. J Econom 1985; 30(1-2):109-126. DOI: https://doi.org/10.1016/0304-4076(85)90134-4.
DOI
|
34 |
Jeong E. Study on the national pension and private transfer in Korea: with special reference to generations before and after Korean baby boomers [dissertation]. Seoul: Korea University; 2009.
|
35 |
Yang Y, Fu WJ, Land KC. A methodological comparison of age‐period‐cohort models: the intrinsic estimator and conventional generalized linear models. Sociol Methodol 2004;34(1):75-110. DOI: https://doi.org/10.1111/j.0081-1750.2004.00148.x.
DOI
|
36 |
Land KC, Zang E, Fu Q, Guo X, Jeon SY, Reither EN. Playing with the rules and making misleading statements: a response to Luo, Hodges, Winship, and Powers. Am J Sociol 2016;122(3):962-973. DOI: https://doi.org/10.1086/689853.
DOI
|
37 |
Zweifel P, Felder S, Werblow A. Population ageing and health care expenditure: new evidence on the "red herring". Geneva Pap Risk Insur Issues Pract 2004;29(4):652-666. DOI: https://doi.org/10.1111/j.1468-0440.2004.00308.x.
DOI
|
38 |
Meerding WJ, Bonneux L, Polder JJ, Koopmanschap MA, van der Maas PJ. Demographic and epidemiological determinants of healthcare costs in Netherlands: cost of illness study. BMJ 1998;317(7151):111-115. DOI: https://doi.org/10.1136/bmj.317.7151.111.
DOI
|
39 |
Deaton A. The analysis of household surveys: a microeconometric approach to development policy. Baltimore (MD): The Johns Hopkins University Press; 1997.
|
40 |
Dargay JM, Vythoulkas PC. Estimation of a dynamic car ownership model: a pseudo-panel approach. J Transp Econ Policy 1999;33(3):287-301.
|
41 |
Seshamani M, Gray A. Ageing and health-care expenditure: the red herring argument revisited. Health Econ 2004;13(4):303-314. DOI: https://doi.org/10.1002/hec.826.
DOI
|
42 |
Fuchs VR. Though much is taken: reflections on aging, health, and medical care. Cambridge (MA): National Bureau of Economic Research; 1984. DOI: https://doi.org/10.3386/w1269.
|
43 |
Park MS, Ko DY, Ku JK, Lee KH. The impact of changes of population composition on the demand of services. Sejong: Korea Institute for Industrial Economics and Trade; 2013.
|
44 |
Ministry of Health and Welfare, Yonsei University, Korea Institute for Health and Social Affairs. Korean National Health Accounts in 2014. Sejong: Ministry of Health and Welfare; 2016.
|
45 |
Fu WJ, Land KC, Yang Y. On the intrinsic estimator and constrained estimators in age-period-cohort models. Sociol Methods Res 2011;40(3): 453-466. DOI: https://doi.org/10.1177/0049124111415355.
DOI
|
46 |
O'Brien RM. Intrinsic estimators as constrained estimators in age-period-cohort accounting models. Sociol Methods Res 2011;40(3):467-470. DOI: https://doi.org/10.1177/0049124111415369.
DOI
|
47 |
Luo L. Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography 2013;50(6):1945-1967. DOI: https://doi.org/10.1007/s13524-013-0243-z.
DOI
|
48 |
Hagist C, Kotlikoff L. Who's going broke?: comparing growth in healthcare costs in ten OECD countries (No. w11833). Cambridge (MA): National Bureau of Economic Research; 2005. DOI: https://doi.org/10.3386/w11833.
|
49 |
Hagist C, Klusen N, Plate A, Raffelhuschen B. Social health insurance: the major driver of unsustainable fiscal policy? [Internet]. Rochester (NY): SSRN; 2005 [cited 2016 Oct 18]. Available from: https://ssrn.com/abstract=845349.
|
50 |
Zweifel P, Felder S, Meiers M. Ageing of population and health care expenditure: a red herring? Health Econ 1999;8(6):485-496. DOI: https://doi.org/10.1002/(sici)1099-1050(199909)8:6<485::aid-hec461>3.0.co;2-4.
DOI
|
51 |
Park YS, Kim SH. Misunderstanding and understanding on healthcare expenditures of the elderly. Health Policy Forum 2015;13(4):113-115.
|
52 |
Lee JS. The aged are not guilty. The Kyunghyang Shinmun. 2015 Jul 19.
|
53 |
Ryder NB. The cohort as a concept in the study of social change. Am Sociol Rev 1965;30(6):843-861. DOI: https://doi.org/10.2307/2090964.
DOI
|