Forecasting the nursing home population

Medical Care

Volumn 41, Issue 1, 2003, Pages 8-20

  Lakdawalla, Darius ^a,b   Goldman, Dana P ^a   Bhattacharya, Jay ^a   Hurd, Michael D ^a   Joyce, Geoffrey F ^a   Panis, Constantijn W A ^a  

^a RAND CORPORATION   (United States)

^b NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFRICAN AMERICAN; AGE; AGED; ARTICLE; COHORT ANALYSIS; COMPARATIVE STUDY; DAILY LIFE ACTIVITY; DISABLED PERSON; EDUCATION; FEMALE; FORECASTING; HEALTH STATUS; HISPANIC; HOME FOR THE AGED; HUMAN; INCOME; INSTITUTIONALIZATION; MALE; MARRIAGE; MEDICARE; NURSING HOME; SEX DIFFERENCE; THEORETICAL MODEL; UNITED STATES;

ACTIVITIES OF DAILY LIVING; AFRICAN AMERICANS; AGE FACTORS; AGED; AGED, 80 AND OVER; COHORT STUDIES; DISABLED PERSONS; EDUCATION; FEMALE; FORECASTING; HEALTH STATUS; HISPANIC AMERICANS; HOMES FOR THE AGED; HUMANS; INCOME; INSTITUTIONALIZATION; MALE; MARRIAGE; MEDICARE; MODELS, THEORETICAL; NURSING HOMES; SEX FACTORS; UNITED STATES;

EID: 0037271443     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/00005650-200301000-00003     Document Type: Article

References (16)

1. Bhattacharya J, Garber A, MaCurdy T. Cause-specific mortality among medicare enrollees. Working Paper No. 5409, National Bureau of Economic Research. Cambridge, MA: National Bureau of Economic Research; 1996.
2. Crimmins EM, Saito Y, Ingegneri D. Changes in life expectancy and disability-free life expectancy in the United States. Population Develop Rev 1989;15:235-267.
3. Garber A, MaCurdy T. Predicting nursing home utilization among the high-risk elderly. Issues in the Economics of Aging. NBER Project Report Series, Wise DA, ed. Chicago, IL: University of Chicago Press; 1990.
4. HCIA. The Guide to the Nursing Home Industry. Dallas, TX: Arthur Andersen; 1996.
5. Headen AE, Jr. Economic disability and health determinants of the hazard of nursing home entry. J Human Res 1993;28:80-110.
6. Lakdawalla DN, Bhattacharya B, Goldman DP, et al. Are the Young Becoming More Disabled? Working Paper 8247, National Bureau of Economic Research, April. Cambridge, MA: NBER; 2001.
7. Lakdawalla DN, Philipson TJ. The rise in old-age longevity and the market for long-term care. Am Economic Rev. 2002;92:295-306.
8. MaCurdy T, Green D, Paarsch HJ, et al. Assessing empirical approaches for analyzing taxes and labor supply. J Human Res 1990;25:415-490.
9. Manton KG, Corder L, Stallard E, et al. Chronic disability trends in elderly United States populations: 1982-1994. Proceedings of the National Academy of Science 1997;94:2593-2598.
10. Manton KG, Gu XL. Changes in the prevalence of chronic disability in the United States black and nonblack population above age 65 from 1982 to 1999. Proceedings of the National Academy of Science 2001;98:6354-6359.
11. National Center for Social Statistics. Medicaid Recipient Characteristics and Units of Selected Medical Services: 1972. Washington, DC: United States Department of Health, Education, and Welfare, 1974.
12. New York State Department of Health. [Department of Health Web Site.] Available at: www.health.state.ny.us/nysdoh/medstat/cy98ex.xls. Last accessed: June 14, 2001.
13. Stern S. Estimating family long-term care decisions in the presence of endogenous child characteristics. J Human Res 1995;30:551-580.
14. US Bureau of the Census. Statistical History of the United States from Colonial Times to Present. Stamford, CT: Fairfield Publishers; 1965.
15. US Department of Health and Human Services. Vital Statistics of the United States. Washington, DC: US Government Printing Office; 1997.
16. Waidmann TA, Lui K. Disability trends among elderly persons and implications for the future. J Gerontol 55B:2000:S298-S307.