The primary aim of this project is to exploit the synergies between the other component projects and to identify in which directions new research is likely to be most fruitful. Thus the project has a strong comparative and methodological aspect in that it attempts to evaluate and integrate the contribution of different approaches and different types of information. As part of that approach it seeks to make contributions by experimenting with new types of data and modeling approaches that will remedy weaknesses in existing models. To achieve its integrative and evaluative aim, the project seeks to guarantee that definitions, sample selections and specification choices in the other projects are made in a coherent way. Furthermore the component projects will all be asked to estimate or simulate a number of key policy parameters of interest. Thus we will obtain these parameters for different datasets from countries with varying institutional backgrounds and for different models. A framework will be developed for comparing the contributions of different variables (e.g. health, economic incentives, and workplace conditions) to the understanding of retirement decisions. This will involve quantitative measures of goodness of fit and predictive performance in and out of sample, as well as available datasets, in particular subjective data on expectations, choice opportunities and constraints, stated preferences, etc., to validate or extend the models used. Gaps in data and knowledge that remain will be identified and new (experimental) data will be collected to address as yet unanswered questions. We will propose the addition of new types of data to some of the most important surveys in the United States and Europe.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG022481-05
Application #
7645782
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
5
Fiscal Year
2008
Total Cost
$90,628
Indirect Cost
Name
Rand Corporation
Department
Type
DUNS #
006914071
City
Santa Monica
State
CA
Country
United States
Zip Code
90401
Lei, Xiaoyan; Shen, Yan; Smith, James P et al. (2018) Life Satisfaction in China and Consumption and Income Inequalities. Rev Econ Househ 16:75-95
Lei, Xiaoyan; Shen, Yan; Smith, James P et al. (2017) SIBLING GENDER COMPOSITION'S EFFECT ON EDUCATION: EVIDENCE FROM CHINA. J Popul Econ 30:569-590
Vega, Alma; Aguila, Emma (2017) Foreign retirement income among new older immigrants in the United States. Int Migr 55:38-56
Aguila, Emma; Kapteyn, Arie; Perez-Arce, Francisco (2017) Consumption Smoothing and Frequency of Benefit Payments of Cash Transfer Programs. Am Econ Rev 107:430-435
Blanco, Luisa R; Aguila, Emma; Gongora, Arturo et al. (2017) Retirement Planning Among Hispanics: In God's Hands? J Aging Soc Policy 29:311-331
Aguila, Emma; Kapteyn, Arie; Tassot, Caroline (2017) Designing Cash Transfer Programs for an Older Population: The Mexican Case. J Econ Ageing 9:111-121
Aguila, Emma; Guerrero, Erick G; Vega, William A (2016) Sociodemographic characteristics associated with alcohol use among low-income Mexican older adults. Subst Abuse Treat Prev Policy 11:16
Aguila, Emma; Weidmer, Beverly A; Illingworth, Alfonso Rivera et al. (2016) Culturally Competent Informed-Consent Process to Evaluate a Social Policy for Older Persons With Low Literacy: The Mexican Case. Sage Open 6:
Aguila, Emma; Mejia, Nelly; Perez-Arce, Francisco et al. (2016) Costs of Extending the Noncontributory Pension Program for Elderly: The Mexican Case. J Aging Soc Policy 28:325-43
Kim, Jibum; Lee, Yun-Suk; Lee, Jinkook (2016) Living arrangements and suicidal ideation among the Korean older adults. Aging Ment Health 20:1305-1313

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