cpdrc dcHealth ProFamy (A User-Friendly Software for Projections
of Households and Living Arrangements)
ccer PEKING UNIVERSITITY
INTRODUCTION
  Applications of the ProFamy Model for Household Projections at National, Sub-national and County Levels  
Time: 2018/9/6 [657]

     The ProFamy model/software has been used to generate national household projections for several outcomes: U.S. household projections by race (Zeng et al. 2006; Jiang and O’Neill, 2007), households and population aging, fertility policy analyses, retirement ages and elderly care needs/costs studies in China (Zeng, 2007, 2011; Zeng et al., 2008; Zeng et al., 2013; Zeng, Land et al. 2014; Feng et al, 2018); U.S. household projections and implications for the housing industry and housing policy (Smith et al. 2008); U.S. household projections and home-based energy consumption and future carbon emissions (Dalton et al., 2008; O'Neill and Chen, 2002; O'Neill and Jiang, 2007); household automobile consumption in Austria (Prskawetz, Jiang, and O’Neill  2004) and the United States (Feng et al. 2011); German households and living arrangement projections (Hullen 2000; 2003); and household projections in South Korea (Kye, 2014; Oh, 2015). The ProFamy model/software also has been used to produce household projections in sub-national and smaller areas, including socioeconomic planning and housing demands analyses, in the United States, Germany, mainland China, and Taiwan province (e.g., Hullen 2001; Heigl 2001; Smith et al. 2012; Zeng, Land et al. 2013; Jiang and Kuijsten 1999a, 1999b; Yang and Zeng 2000; Zeng, Li et al. 2013; Feng, Choi et al., 2018).

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