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Part of the book series: The Springer Series on Demographic Methods and Population Analysis ((PSDE,volume 36))

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Abstract

Demographers have developed likely scenarios of changes in family households for many national and sub-national populations during the twenty-first century. These anticipated demographic changes will alter the number and proportion of different kinds of households, producing important questions for the future. How many elderly persons will live alone, with spouse only, with children or other relatives, or be institutionalized? How many elderly persons will need assistance in daily activities, but will not have children and/or spouse to provide help? How many middle-age persons will have responsibilities to care for both elderly parents and young children? How many children will live in a single-parent household? How many teenage and adult single mothers will have to care for their children with no spouse or partner present? What are the implications of these changing scenarios for family caregiving and the health service system? The new method and user-friendly software for family household and living arrangement projection presented in this book can be used to answer these and other important questions. The method of projecting and evaluating the consequences of demographic changes on future family household dynamics and living arrangements is clearly useful in empirical studies, development of theories, policy analyses, and business management.

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Notes

  1. 1.

    Household projection reports have been among Statistics Canada’s best sellers George (1999: 8–9).

  2. 2.

    Note that a state in the United States is equivalent to a province or other kind of administrative region immediately underneath the nation in other countries.

  3. 3.

    The “small-area” term refers to small towns and places, possibly even tracts or block groups which have a small population size.

References

  • Ahlburg, D. A. (1995). Simple versus complex models: Evaluation, accuracy and combining. Mathematical Population Studies, 5(1995), 281–290.

    Article  Google Scholar 

  • Annie E. Casey Foundation. (2012). Children in single-parent families, 2000–2011. Kids Count Data Center, Annie E. Casey Foundation. http://datacenter.kidscount.org/data/acrossstates/NationalProfile.aspx. Accessed 16 Nov 2012.

  • Bacon, B., & Pennec, S. (2007). APPSIM-Modelling family formation and dissolution. (Working Paper No. 4). National Centre for Social and Economic Modeling: University of Canberra.

    Google Scholar 

  • Bianchi, S. M., Subaiya, L., & Kahn, J. R. (1999). The gender gap in the economic well-being of nonresident fathers and custodial mothers. Demography, 36(2), 195–203.

    Article  Google Scholar 

  • Boland, L. A. (1989). The methodology of economic model building. London: Routledge.

    Google Scholar 

  • Bongaarts, J. (1987). The projection of family composition over the life course with family status life tables. In J. Bongaarts, T. K. Burch, & K. Wachter (Eds.), Family demography: Methods and applications (pp. 189–212). Oxford: Clarendon.

    Google Scholar 

  • Bramlett, M. D., & Mosher, W. D. (2002). Cohabitation, marriage, divorce and remarriage in the United States. National Center for Health Statistics. Vital Health Statistics Reports, Vol. 23, No. 22. Hyattsville: National Center for Health Statistics.

    Google Scholar 

  • Bumpass, L. L., & H-H, L. (2000). Trends in cohabitation and implications for children’s family contexts in the United States. Population Studies, 54, 29–41.

    Article  Google Scholar 

  • Bumpass, L. L., & Sweet, J. A. (1995). Cohabitation, marriage, and non-marital childbearing and union stability: Preliminary findings from NSFH2 (NSFH Working Paper No. 65). Madison: University of Wisconsin, Center for Demography and Ecology.

    Google Scholar 

  • Casper, L. M., & Cohen, P. N. (2000). How does POSSLQ measure up? Historical estimates of cohabitation. Demography, 37(2), 237–245.

    Article  Google Scholar 

  • Chappell, N. (1991). Living arrangement and sources of caregiving. Journal of Gerontology: Social Sciences, 46, S1–S8.

    Article  Google Scholar 

  • Cherlin, A. J. (1992). Marriage, divorce, remarriage. Cambridge: Harvard University Press.

    Google Scholar 

  • Clark, R., & Peck, B. M. (2012). Examining the gender gap in life expectancy: A cross-national analysis, 1980–2005. Social Science Quarterly, 93(3), 820–837.

    Article  Google Scholar 

  • Clark, R. L., & Spengler, J. J. (1978). Changing demography and dependency costs: The implications of new dependency ratios and their composition. In B. Herzog (Ed.), Aging and income (pp. 55–89). New York: Human Sciences Press.

    Google Scholar 

  • Coale, A. J. (1984). Life table construction on the basis of two enumerations of a closed population. Population Index, 50, 193–213.

    Article  Google Scholar 

  • Coale, A. J. (1985). An extension and simplification of a new synthesis of age structure and growth. Asian and Pacific Forum, 12, 5–8.

    Google Scholar 

  • Coale, A., & Trussell, T. J. (1974). Model fertility schedules: Variations in the age structure of childbearing in human population. Population Index, 40, 185–258.

    Article  Google Scholar 

  • Coale, A. J., Demeny, P., & Vaughn, B. (1983). Regional model life tables and stable populations. New York: Academic.

    Google Scholar 

  • Day, J. C. (1996). Population projections of the United States by age, sex, race, and Hispanic origin: 1995 to 2050. US Bureau of the Census, Current Population Reports, 25–1130. Washington, DC: US Government Printing Office. http://www.census.gov/prod/1/pop/p25-1130. Accessed 10 June 2010.

  • Ding, J. (2003). Analysis about the impact of changes in fertility pattern on fertility level for China between 1991~2000. Population Research, 27(02), 55–60 [in Chinese].

    Google Scholar 

  • Doty, P. (1986). Family care of the elderly: The role of public policy. Milbank Memorial Fund Quarterly, 64, 34–75.

    Google Scholar 

  • Du, P., & Wu, C. (2006). Ability of daily life of the Chinese elderly: Status and change. Population Research, 30(1), 50–56 [in Chinese].

    Google Scholar 

  • Dykstra, P. A., Kalmijn, M., Knijn, T. C. M., Komter, A. E., Liefbroer, A. C., & Mulder, C. H. (2006). Family solidarity in the Netherlands. Amsterdam: Dutch University Press.

    Google Scholar 

  • Fancy, S. G. (1997). A new approach for analyzing bird densities from variable circular-plot counts. Pacific Science, 51(1), 107–114.

    Google Scholar 

  • Federal Interagency Forum Aging Related Statistics (FIFARS). (2004). Older Americans 2004: Key indicators of wellbeing. Federal Interagency Forum on Aging-Related Statistics. Washington, DC: U.S. Government Printing Office, November 2004.

    Google Scholar 

  • Freedman, V. A. (1996). Family structure and the risk of nursing home admission. Journal of Gerontology, 51B(2), S61–S69.

    Article  Google Scholar 

  • Gan, J. (2010). Housing wealth and consumption growth: Evidence from a large panel of households. Review of Financial Studies, 23(6), 2229–2267.

    Article  Google Scholar 

  • George, M. V. (1999). On the use and users of demographic projections in Canada (Working Paper No. 15). Conference of European statisticians, Joint ECE-EUROSTAT Work Session on Demographic Projections, Perugia, 3–7 May 1999.

    Google Scholar 

  • Green, R., & Hendershott, P. H. (1996). Age, housing demand, and real house prices. Regional Sciences and Urban Economics, 26, 465–480.

    Article  Google Scholar 

  • Greenhalgh, S., & Bongaarts, J. (1987). Fertility policy in China: Future options. Science, 235(4793), 1167–1172.

    Article  Google Scholar 

  • Gruenberg, E. M. (1977). The failures of success. Milbank Memorial Fund Quarterly, 55, 3–24.

    Article  Google Scholar 

  • He, P. (2001). A research on the social security framework in China. China Labor, 5, 8–10 [in Chinese].

    Google Scholar 

  • Heath Bureau of Shanghai. (2012). Health status in Shanghai, 2011. http://www.chinanews.com/df/2012/02-20/3682967.shtml. [in Chinese]. Accessed 27 Apr 2013.

  • Heffler, S., Smith, S., Keehan, S., Borger, C., Clemens, M. K., & Truffer, C. (2005). U.S. health spending projections for 2004–2014. Health Affairs, 5, 74–85.

    Google Scholar 

  • Hendershott, P. H., & Weicher, J. C. (2002). Forecasting housing markets: Lesson learned. Real Estate Economics, 30(1), 1–11.

    Article  Google Scholar 

  • Hesketh, T., Li, L., & Zhu, W. X. (2005). The effects of China’s one-child family policy after 25 years. New England Journal of Medicine, 353(11), 1171–1176.

    Article  Google Scholar 

  • Hu, A., Tang, W., Wang, H., Mo, Z., Wang, B., & Chen, Z. (2003). Reasonably distribute the eldercare health service. Population and Economics, 138(3), 13–18.

    Google Scholar 

  • Huang, C. (2006). Elderly health and family care burden in China. Chinese Health Resources, 9(5), 208–210 [in Chinese].

    Google Scholar 

  • Hughes, M. E., & Waite, L. J. (2002). Health and household context: Living arrangements and health in late middle age. Journal of Health and Social Behavior, 43(1), 1–21.

    Article  Google Scholar 

  • Johnson, R. W., Toohey, D., & Wiener, J. M. (2007). Meeting the long-term care needs of the baby boomers: How changing families will affect paid helpers and institutions. Washington, DC: The Urban Institute.

    Google Scholar 

  • Keyfitz, N. (1972). On future population. Journal of the American Statistical Association, 67, 347–363.

    Article  Google Scholar 

  • Khan, H. T. A., & Lutz, W. (2008). How well did past UN population projections anticipate demographic trends in six South-east Asian countries? Asian Population Studies, 4(1), 77–95.

    Article  Google Scholar 

  • Lakdawalla, D., & Philipson, T. (2002). The rise in old age longevity and the market for long term care. American Economic Review, 92(1), 295–306.

    Article  Google Scholar 

  • Laslett, P. (1994). Kinship within and kinship beyond the household: Instrumental kin relations and their availability in the European past, present, and future. Paper presented at the Murcia meeting on History of the Family. New Views on the Social Structure in Europe, December, 1994.

    Google Scholar 

  • Lee, R., & Miller, T. (2002). An approach to forecasting health expenditures, with application to the U.S. Medicare system. Health Services Research, 37(5), 1365–1386.

    Article  Google Scholar 

  • Lee, R. D., & Tuljapurkar, S. (2001). Population forecasting for fiscal planning: Issues and innovation. In A. J. Auerbach & R. D. Lee (Eds.), Demographic changes and fiscal policy. Cambridge: Cambridge University Press.

    Google Scholar 

  • Lesthaeghe, R., & van de Kaa, D. J. (1986). Twee demografische transities? In D. J. van de Kaa & R. Lesthaeghe (Eds.), Bevolking: Groei en Krimp (pp. 9–24). Deventer: Van Loghum Slaterus.

    Google Scholar 

  • Levine, J. A., Pollack, H., & Comfort, M. E. (2001). Academic and behavioral outcomes among the children of young mothers. Journal of Marriage and Family, 63(2), 355–369.

    Article  Google Scholar 

  • Li, J. (2003). An analysis of the survey of personal fertility attitudes in Beijing’s one child family. Chinese Journal of Population Science, 4, 74–78 (in Chinese).

    Google Scholar 

  • Li, L., & Chen, Q. (2006). Impacts of population changes on the national medical and health care system. In Y. Zeng, L. Li, B. Gu, & Y. Lin (Eds.), 21st century population and economic development in China (pp. 221–235). Beijing: Social Sciences Academic Press of China [in Chinese].

    Google Scholar 

  • Manton, K. G., Singer, B. H., & Suzman, R. M. (1993). Forecasting the health of elderly populations. New York: Springer.

    Book  Google Scholar 

  • Manton, K. G., Gu, X., & Lamb, V. L. (2006). Changes in chronic disability from 1982 to 2004/2005 as measured by long-term changes in function and health in the U.S. elderly population. Proceedings of the National Academy of Sciences, 103(48), 18374–18379.

    Article  Google Scholar 

  • Mayer, G. C., Torrey, B. B., & Kineslla, K. G. (1992). The paradox of the oldest old in the United States: An international comparison. In R. M. Suzman, D. P. Willis, & K. G. Manton (Eds.), The oldest old (pp. 58–85). Oxford: Oxford University Press.

    Google Scholar 

  • Morgan, S. P. (2004). Interstate differentials in demographic rates are mostly caused by differences in racial compositions. Personal e-mail communication.

    Google Scholar 

  • Murphy, M. (1991). Modelling households: A synthesis. In M. J. Murphy & J. Hobcraft (Eds.), Population research in Britain (A supplement to population studies, Vol. 45, pp. 157–176). London: Population Investigation Committee, London School of Economics.

    Google Scholar 

  • Murray, C. J. L., Ferguson, B. D., Lopez, A. D., Guillot, M., Salomon, J. A., & Ahmad, O. (2003). Modified logit life table system: Principles, empirical validation, and application. Population Studies, 57, 165–182.

    Article  Google Scholar 

  • National Center for Health Statistics (NCHS). (2012). Health, United States, 2011: List of trend tables. http://www.cdc.gov/nchs/hus/contents2011.htm. Accessed 16 Nov 2012.

  • National Research Council. (2001). Preparing for an aging world: The case for cross-national research. Panel on a Research Agenda and New Data for an Aging World, Committee on Population and Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.

    Google Scholar 

  • Natural Resources of Canada. (2004). Light-duty vehicle fuel efficiency scenario: model year 1990 to 2010. http://atlas.gc.ca/site/english/maps/climatechange/humanactivitiesemissions/methodologyprojection.html. Accessed 10 June 2010.

  • Nishioka, H., Koyama, Y., Suzuki, T., Yamauchi, M., & Suga, K. (2011). Household projections by prefecture in Japan: 2005–2030: Outline of results and methods. The Japanese Journal of Population, 9(1), 78–133.

    Google Scholar 

  • Nortman, D. (1974). Parental age as a factor in pregnancy outcome and child development (Reports on Population Family Planning, No. 16). New York: The Population Council.

    Google Scholar 

  • O’Neill, B. C., & Chen, B. S. (2002). Demographic determinants of household energy use in the United States. Population and Development Review, 28, 53–88.

    Google Scholar 

  • OECD. (2013). OECD Health Data 2012: Frequently requested data. http://www.oecd.org/els/health-systems/oecdhealthdata2012-frequentlyrequesteddata.htm

  • Pinquart, M., & Sörensen, S. (2005). Ethnic differences in stressors, resources, and psychological outcomes of family caregiving: A meta-analysis. The Gerontologist, 45(1), 90–106.

    Article  Google Scholar 

  • Rix, S. E., & Fisher, P. (1982). Retirement-age policy: An international perspective. New York: Pergamon Press.

    Google Scholar 

  • Rogers, A. (1975). Introduction to multiregional mathematical demography. New York: Wiley.

    Google Scholar 

  • Rogers, A. (1986). Parameterized multistate population dynamics and projections. Journal of American Statistical Association, 81, 48–61.

    Article  Google Scholar 

  • Ruggles, S. (1993). Confessions of a microsimulator: Problems in modeling the demography of kinship. Historical Methods, 26(4), 161–169.

    Article  Google Scholar 

  • Schoen, R. (1981). The harmonic mean as the basis of a realistic two-sex marriage model. Demography, 18, 201–216.

    Article  Google Scholar 

  • Schoen, R., & Standish, N. (2001). The retrenchment of marriage: Results from marital status life tables for the United States, 1995. Population and Development Review, 27(3), 553–563.

    Article  Google Scholar 

  • Serup-Hansen, N., Wickstrøm, J., & Kristiansen, I. S. (2002). Future health care costs-do health care costs during the last year of life matter? Health Policy, 62, 161–172.

    Article  Google Scholar 

  • SFPC (State Family Planning Commission) Research Group. (2000). Future population development and fertility policy in China. Population Research, 21(01), 18–34 [in Chinese].

    Google Scholar 

  • Shen, K., Yan, P., & Zeng, Y. (2013). The impact of co-residence with elderly parents on female labor force participation in China. Manuscript submitted to a peer-reviewed journal for consideration of publication.

    Google Scholar 

  • Shi, Q. (2001). Study on the marriage, fertility behavior and attitudes among rural households in Zhejiang Province. Chinese Journal of Population Science., 4, 44–54 [in Chinese].

    Google Scholar 

  • Smith, S. K., Rayer, S., Smith, E. A., Wang, Z., & Zeng, Y. (2012). Population aging, disability and housing accessibility: Implications for sub-national areas in the United States. Housing Studies, 27(2), 252–266.

    Article  Google Scholar 

  • Spicer, K., Diamond, I., & Bhrolcham, M. N. (1992). Into the twenty-first century with British households. International Journal of Forecasting, 8, 529–539.

    Article  Google Scholar 

  • Starmass International. (2009). Hebei demographic analysis and economy overview. http://www.starmass.com/china-review/provincial-overview/hebei-demographic-economy.htm. Accessed 20 Feb 2013.

  • Strow, C. W., & Strow, B. K. (2006). A history of divorce and remarriage in the United States. Humanomics, 22(4), 239–257.

    Article  Google Scholar 

  • Suthers, K., Kim, J. K., & Crimmins, E. M. (2003). Life expectancy with cognitive impairment in the older population of the United States. Journal of Gerontology: Social Sciences, 58B(3), S179–S186.

    Google Scholar 

  • The Hindu. (2013). India among world’s top 20 real estate investment markets. The Hindu. http://www.thehindu.com/todays-paper/tp-business/india-among-worlds-top-20-real-estate-investment-markets/article4549070.ece. Accessed 31 Mar 2013.

  • Thornton, A., Axinn, W. G., & Xie, Y. (2007). Marriage and cohabitation. Chicago: University of Chicago Press.

    Book  Google Scholar 

  • U. N. (United Nations). (1982). Model life tables for developing Countries. ST/SEA/SER, A/77, Sales No. E. 81. XIII, 7, New York: United Nations.

    Google Scholar 

  • U.N. (United Nations). (2013). World population prospects: The 2012 revision. New York: United Nations.

    Google Scholar 

  • UNICEF, WHO, The World Bank and UN Population Division. (2007). Levels and trends of child mortality in 2006: Estimates developed by the inter-agency group for child mortality estimation. New York: United Nations.

    Google Scholar 

  • U.S. Census Bureau. (2001). U.S. adults postponing marriage. Census Bureau Reports. (http://www.census.gov/Press-Release/www/2001/cb01-113.html). Accessed 20 Mar 2008.

  • U.S. Census Bureau. (2011). The 2011 American community survey. See Table B12007 in American FactFinder for the median age at first marriage. http://factfinder2.census.gov

  • Van de Kaa, D. J. (2008). Demographic transition. In Y. Zeng (Ed.), Demography: Encyclopedia of Life Support Systems (EOLSS), Developed under the Auspices of the UNESCO. Oxford, UK: EOLSS Publishers. http://www.eolss.net. Retrieved 2 Sept 2010.

  • Van Gaalen, R., & van Poppel, F. (2009). Long-term changes in the living arrangements of children in the Netherlands. Journal of Family Issues, 30(5), 653–669.

    Article  Google Scholar 

  • Van Imhoff, E. (1999). Modelling life histories: Macro robustness versus micro substance. Paper presented at the international workshop on synthetic biographics: State of the art and developments, San Miniato, 6–9 June 1999.

    Google Scholar 

  • Van Imhoff, E., & Keilman, N. (1992). LIPRO 2.0: An application of a dynamic demographic projection model to household structure in the Netherlands. Amsterdam: Swets & Zeithinger.

    Google Scholar 

  • Van Imhoff, E., & Post, W. (1998). Microsimulation methods for population projection. New methodological approaches in the social sciences. Population: An English Selection, 10(1), 97–138.

    Google Scholar 

  • Van Imhoff, E., Kuijsten, A., Hooimeiger, P., & van Wissen, L. (1995). Epilogue. In E. Imhoff, A. Kuijsten, P. Hooimeiger, & L. van Wissen (Eds.), Household demography and household modeling (pp. 345–351). New York: Plenum.

    Chapter  Google Scholar 

  • Wachter, K. W. (1987). Microsimulation of household cycles. In E. Bongaarts, T. K. Burch, & K. W. Wachter (Eds.), Family demography: Methods and applications (pp. 215–227). Oxford: Clarendon.

    Google Scholar 

  • Watkins, S. C., Menken, J. A., & Bongaarts, J. (1987). Demographic foundations of family change. American Sociological Review, 52(3), 346–358.

    Article  Google Scholar 

  • Willekens, F. J., Shah, I., Shah, J. M., & Ramachandran, P. (1982). Multistate analysis of marital status life tables: Theory and application. Population Studies, 36(1), 129–144.

    Google Scholar 

  • Wolf, D. A. (1988). Kinship and family support in aging societies. In Economic and social implications of population aging (pp. 305–330). Population Division, United Nations Department of International Economic and Social Affairs. New York: United Nations.

    Google Scholar 

  • Wolf, D. A. (1990). Coresidence with an aged parent: Lifetime patterns and sensitivity to demographic changes. Paper presented at the United Nations Conference on Population Aging in the Context of Family, Kitakyushu.

    Google Scholar 

  • Wolf, D. A. (1994). The elderly and their kin: patterns of availability and access. In L. G. Martin & S. H. Preston (Eds.), Demography of aging (pp. 146–194). Washington, DC: National Academy Press.

    Google Scholar 

  • Yelowitz, A. S. (1998). Will extending Medicaid to two-parent families encourage marriage? Journal of Human Resources, 33, 833–865.

    Article  Google Scholar 

  • Zagheni, E. (2011). The impact of the HIV/AIDS epidemic on kinship resources for orphans in Zimbabwe. Population and Development Review, 37(4), 761–783.

    Article  Google Scholar 

  • Zeng, Y. (1986). Changes in family structure in China: A simulation study. Population and Development Review, 12, 675–703.

    Article  Google Scholar 

  • Zeng, Y. (1988). Changing demographic characteristics and the family status of Chinese women. Population Studies, 42, 183–203.

    Article  Google Scholar 

  • Zeng, Y. (1990). User’s manual and software of “FAMY” – A PC computer program for family status life table analysis. Groningen: iec ProGAMMA (Inter-university Expert Center for Computer Software Development and Distribution).

    Google Scholar 

  • Zeng, Y. (1991a). Family dynamics in China: A life table analysis. Wisconsin: The University of Wisconsin Press.

    Google Scholar 

  • Zeng, Y., & Land, K. C. (2001). A sensitivity analysis of the Bongaarts-Feeney method for adjusting bias in observed period total fertility rates. Demography, 38(1), 17–28.

    Article  Google Scholar 

  • Zeng, Yi. (2009). Chinese fertility urgently needs soft-landing transition. Social Science Weekly, issues of Jan. 15 and Jan. 22, 2009 (continuously published in two issues).

    Google Scholar 

  • Zeng, Y., Vaupel, J. W., & Wang, Z. (1997). A multidimensional model for projecting family households—With an illustrative numerical application. Mathematical Population Studies, 6(3), 187–216.

    Article  Google Scholar 

  • Zeng, Y., Vaupel, J. W., & Wang, Z. (1998). Household projection using conventional demographic data. Population and Development Review supplementary issue: Frontiers of Population Forecasting, 24, 59–87.

    Google Scholar 

  • Zeng, Y., Land, K. C., Wang, Z., & Gu, D. (2006). U.S. family household momentum and dynamics–Extension of ProFamy method and application. Population Research and Policy Review, 25(1), 1–41.

    Article  Google Scholar 

  • Zeng, Y., Chen, H., & Wang, Z. (2012a). Analysis on trends of future home-based care needs and costs for elderly in China. Economic Research Journal, 47(1), 134–149.

    Google Scholar 

  • Zeng, Y., Morgan, P., Wang, Z., Gu, D., & Yang, C. (2012b). A multistate life table analysis of union regimes in the United States– Trends and racial differentials, 1970–2002. Population Research and Policy Review, 31, 207–234.

    Article  Google Scholar 

  • Zeng, Y., Land, K. C., Wang, Z., & Gu, D. (2013a). Household and living arrangements projections at the sub-national level: An extended cohort-component approach. Demography, 50, 827–852.

    Article  Google Scholar 

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Zeng, Y., Land, K.C., Gu, D., Wang, Z. (2014). Introduction. In: Household and Living Arrangement Projections. The Springer Series on Demographic Methods and Population Analysis, vol 36. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8906-9_1

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