IDEAS home Printed from https://ideas.repec.org/a/kap/poprpr/v39y2020i2d10.1007_s11113-019-09531-4.html
   My bibliography  Save this article

Forecast Households at the County Level: An Application of the ProFamy Extended Cohort-Component Method in Six Counties of Southern California, 2010 to 2040

Author

Listed:
  • Qiushi Feng

    (National University of Singapore)

  • Zhenglian Wang

    (Duke University
    China Population and Development Research Center)

  • Simon Choi

    (Chung-Ang University
    Southern California Association of Governments)

  • Yi Zeng

    (Peking University
    Duke University)

Abstract

Policymakers and market analysts have long been interested in future trends of households. Among household projection methods, the ProFamy extended cohortcomponent method, as one alternative to the traditional headship-rate method, has recently been extended to the subnational levels. This paper illustrates the application of the ProFamy method at the county level by projecting household types, sizes, and elderly living arrangements for six counties of Southern California from 2010 to 2040, including Imperial, Los Angeles, Orange, Riverside, San Bernardino, and Ventura.Using this specific case, this paper introduces the rationales and procedure of the county-level application of the ProFamy method. The validation test for the ProFamy to project the 2010 population and households using the 2000 census data support the use of the ProFamy at the county level. And the ProFamy method also yields satisfactory results in comparison with the projections of headship-rate methods. The ProFamy forecasts on the six county of Southern California provide detailed information on the county-level trends of households and elderly living arrangement in this region, which are valuable information for the local planning agency but usually beyond the capacity of the traditional methods.

Suggested Citation

  • Qiushi Feng & Zhenglian Wang & Simon Choi & Yi Zeng, 2020. "Forecast Households at the County Level: An Application of the ProFamy Extended Cohort-Component Method in Six Counties of Southern California, 2010 to 2040," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(2), pages 253-281, April.
  • Handle: RePEc:kap:poprpr:v:39:y:2020:i:2:d:10.1007_s11113-019-09531-4
    DOI: 10.1007/s11113-019-09531-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11113-019-09531-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11113-019-09531-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanley Smith & Stefan Rayer & Eleanor Smith & Zhenglian Wang & Yi Zeng, 2012. "Population Aging, Disability and Housing Accessibility: Implications for Sub-national Areas in the United States," Housing Studies, Taylor & Francis Journals, vol. 27(2), pages 252-266.
    2. Painter, Gary & Lee, KwanOk, 2009. "Housing tenure transitions of older households: Life cycle, demographic, and familial factors," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 749-760, November.
    3. Dalton, Michael & O'Neill, Brian & Prskawetz, Alexia & Jiang, Leiwen & Pitkin, John, 2008. "Population aging and future carbon emissions in the United States," Energy Economics, Elsevier, vol. 30(2), pages 642-675, March.
    4. Nico Keilman & Solveig Christiansen, 2010. "Norwegian Elderly Less Likely to Live Alone in the Future," European Journal of Population, Springer;European Association for Population Studies, vol. 26(1), pages 47-72, February.
    5. Crosbie, Tracey, 2008. "Household energy consumption and consumer electronics: The case of television," Energy Policy, Elsevier, vol. 36(6), pages 2191-2199, June.
    6. Spicer, Keith & Diamond, Ian & Ni Bhrolchain, Marie, 1992. "Into the twenty-first century with British households," International Journal of Forecasting, Elsevier, vol. 8(3), pages 529-539, November.
    7. Jianguo Liu & Gretchen C. Daily & Paul R. Ehrlich & Gary W. Luck, 2003. "Effects of household dynamics on resource consumption and biodiversity," Nature, Nature, vol. 421(6922), pages 530-533, January.
    8. Tom Wilson, 2013. "The sequential propensity household projection model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(24), pages 681-712.
    9. Zeng Yi & James Vaupel & Wang Zhenglian, 1997. "A multi-dimensional model for projecting family households - with an illustrative numerical application," Mathematical Population Studies, Taylor & Francis Journals, vol. 6(3), pages 187-216.
    10. Aaron S. Yelowitz, 1998. "Will Extending Medicaid to Two-Parent Families Encourage Marriage?," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 833-865.
    11. Nico Keilman, 2003. "The threat of small households," Nature, Nature, vol. 421(6922), pages 489-490, January.
    12. Solveig Christiansen & Nico Keilman, 2013. "Probabilistic household forecasts based on register data- the case of Denmark and Finland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(43), pages 1263-1302.
    13. Mason, Andrew & Racelis, Rachel, 1992. "A comparison of four methods for projecting households," International Journal of Forecasting, Elsevier, vol. 8(3), pages 509-527, November.
    14. Yi Zeng & S. Morgan & Zhenglian Wang & Danan Gu & Chingli Yang, 2012. "A Multistate Life Table Analysis of Union Regimes in the United States: Trends and Racial Differentials, 1970–2002," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(2), pages 207-234, April.
    15. Yamagata, Yoshiki & Murakami, Daisuke & Seya, Hajime, 2015. "A comparison of grid-level residential electricity demand scenarios in Japan for 2050," Applied Energy, Elsevier, vol. 158(C), pages 255-262.
    16. Lucas W. Davis, 2008. "Durable goods and residential demand for energy and water: evidence from a field trial," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 530-546, June.
    17. Leiwen Jiang & Brian C. O'Neill, 2007. "Impacts of Demographic Trends on US Household Size and Structure," Population and Development Review, The Population Council, Inc., vol. 33(3), pages 567-591, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
    2. Sebal Oo & Makoto Tsukai, 2022. "Long-Term Impact of Interregional Migrants on Population Prediction," Sustainability, MDPI, vol. 14(11), pages 1-21, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi Zeng & Kenneth Land & Zhenglian Wang & Danan Gu, 2013. "Household and Living Arrangement Projections at the Subnational Level: An Extended Cohort-Component Approach," Demography, Springer;Population Association of America (PAA), vol. 50(3), pages 827-852, June.
    2. Yi Zeng & Eric Stallard & Zhenglian Wang, 2004. "Estimating time-varying sex-age-specific o/e rates of marital status transitions in family household projection or simulation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 11(10), pages 263-304.
    3. Tom Wilson, 2013. "The sequential propensity household projection model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(24), pages 681-712.
    4. Yi Zeng & Eric Stallard & Zhenglian Wang, 2003. "Estimating time-varying sex-age-specific o/e rates of marital status transitions in family household projection or simulation," MPIDR Working Papers WP-2003-024, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Leiwen Jiang & Karen Hardee, 2011. "How do Recent Population Trends Matter to Climate Change?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(2), pages 287-312, April.
    6. Overman, Henry G. & Puga, Diego & Turner, Matthew A., 2008. "Decomposing the growth in residential land in the United States," Regional Science and Urban Economics, Elsevier, vol. 38(5), pages 487-497, September.
    7. Ivanova, Diana & Büchs, Milena, 2022. "Implications of shrinking household sizes for meeting the 1.5 °C climate targets," Ecological Economics, Elsevier, vol. 202(C).
    8. Nico Keilman, 2017. "A combined Brass-random walk approach to probabilistic household forecasting: Denmark, Finland, and the Netherlands, 2011–2041," Journal of Population Research, Springer, vol. 34(1), pages 17-43, March.
    9. Xinrui Wang & Eddie Chi-Man Hui & Jiuxia Sun, 2018. "Population Aging, Mobility, and Real Estate Price: Evidence from Cities in China," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    10. Diana Ivanova & Milena Büchs, 2020. "Household Sharing for Carbon and Energy Reductions: The Case of EU Countries," Energies, MDPI, vol. 13(8), pages 1-28, April.
    11. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis. Part 2: Simulation," Ecological Economics, Elsevier, vol. 86(C), pages 188-198.
    12. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    13. Jonathan M. Lee, 2015. "The Impact of Heterogeneous NOx Regulations on Distributed Electricity Generation in U.S. Manufacturing," Working Papers 15-12, Center for Economic Studies, U.S. Census Bureau.
    14. Azuara, Oliver, 2011. "Effect of universal health coverage on marriage, cohabitation and labor force participation," MPRA Paper 35074, University Library of Munich, Germany.
    15. Marianne P. Bitler & Madeline Zavodny, 2014. "Medicaid: A Review of the Literature," NBER Working Papers 20169, National Bureau of Economic Research, Inc.
    16. Casey, Gregory & Galor, Oded, 2017. "Is faster economic growth compatible with reductions in carbon emissions? The role of diminished population growth," MPRA Paper 76164, University Library of Munich, Germany.
    17. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    18. Begley, Jaclene & Chan, Sewin, 2018. "The effect of housing wealth shocks on work and retirement decisions," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 180-195.
    19. Audrey Light & Yoshiaki Omori, 2009. "Economic Incentives and Family Formation," Working Papers 09-08, Ohio State University, Department of Economics.
    20. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2022. "Health shocks and housing downsizing: How persistent is ‘ageing in place’?," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 490-508.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:poprpr:v:39:y:2020:i:2:d:10.1007_s11113-019-09531-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.