Household And Living Arrangement Projections

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    Household and Living Arrangement Projections
    The Extended Cohort-Component Method and Applications to the U.S. and China
    By: Yi Zeng; Kenneth C. Land; Danan Gu; Zhenglian Wang
    Publisher:
    Springer
    Print ISBN: 9789048189052, 9048189055
    eText ISBN: 9789048189069, 9048189063
    Copyright year: 2014
    Format: PDF
    Available from $ 159.00 USD
    SKU 9789048189069
    This book presents an innovative demographic toolkit known as the ProFamy extended cohort-component method for the projection of household structures and living arrangements with empirical applications to the United States, the largest developed country, and China, the largest developing country. The ProFamy method uses demographic rates as inputs to project detailed distributions of household types and sizes, living arrangements of all household members, and population by age, sex, race/ethnicity, and urban/rural residence at national, sub-national, or small area levels. It can also project elderly care needs and costs, pension deficits, and household consumption. The ProFamy method presented herein has substantial merits compared to the traditional headship rate method, which is not linked to demographic rates and projects limited household types without other household members than heads. The book consists of four parts. The first part presents the methodology, data, estimation issues, and empirical assessments. The next parts present applications in the United States (part two) and China (part three), concerning demographic, social, economic, and business research; policy analysis, including forecasting future trends of household type/size, elderly living arrangements, disability, and home-based care costs, and household consumption including housing and vehicles. The fourth part includes a user’s guide for the ProFamy software to project households, living arrangements, and home-based consumptions. This book offers an invaluable toolkit for researchers, analysts and students in academic, public and private businesses, whose work is related to levels and rates of change in households, population and consumption patterns.
     

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