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Household and Living Arrangement Projections

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Cover of 'Household and Living Arrangement Projections'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 ProFamy: The Extended Cohort-Component Method for Household and Living Arrangement Projections
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    Chapter 3 Data Needs and Estimation Procedures
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    Chapter 4 Empirical Assessments and a Comparison with the Headship Rate Method
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    Chapter 5 Extension of ProFamy Model to Project Elderly Disability Status and Home-Based Care Costs, with an Illustrative Application
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    Chapter 6 Household and Living Arrangement Projections at the Small Area Level
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    Chapter 7 A Simple Method for Projecting Pension Deficit Rates and an Illustrative Application
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    Chapter 8 U.S. Family Household Momentum and Dynamics: Projections at the National Level
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    Chapter 9 Household and Living Arrangement Projections for the 50 States, Washington DC, and Relatively Large Counties in the U.S.
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    Chapter 10 Effects of Changes in Household Structure and Living Arrangements on Future Home-Based Care Costs for Disabled Elders in the United States
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    Chapter 11 Projections of Household Vehicle Consumption in the United States
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    Chapter 12 Household and Living Arrangement Projections in China at the National Level
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    Chapter 13 Dynamics of Households and Living Arrangements in the Eastern, Middle, and Western Regions of China
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    Chapter 14 Application of Household and Living Arrangement Projections to Policy Analysis in China
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    Chapter 15 Household Housing Demand Projections for Hebei Province of China
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    Chapter 16 Setting Up the Projection Model
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    Chapter 17 Preparing Input Data, Computing, and Managing Output
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    Chapter 18 Epilogue: Summary and Future Perspectives
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Citations

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Title
Household and Living Arrangement Projections
Published by
Springer Netherlands, January 2014
DOI 10.1007/978-90-481-8906-9
ISBNs
978-9-04-818905-2, 978-9-04-818906-9, 978-9-40-240496-8
Authors

Zeng, Yi, Land, Kenneth C., Gu, Danan, Wang, Zhenglian, Yi Zeng, Kenneth C. Land, Danan Gu, Zhenglian Wang

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 55%
Student > Doctoral Student 2 18%
Student > Bachelor 1 9%
Student > Master 1 9%
Unknown 1 9%
Readers by discipline Count As %
Social Sciences 6 55%
Business, Management and Accounting 1 9%
Economics, Econometrics and Finance 1 9%
Engineering 1 9%
Unknown 2 18%

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