SSI Monthly Statistics, December 2012 (January 2013).
www.ssa.gov/policy/docs/statcomps/ssi_monthly/2012-12/index.html
SSI Monthly Statistics, December 2012 (January 2013).
www.ssa.gov/policy/docs/statcomps/ssi_monthly/2012-12/index.html
“NIH-supported Alzheimer’s studies to focus on innovative treatments,” (January 14, 2013).
www.nia.nih.gov/newsroom/2013/01/nih-supported-alzheimers-studies-focus-innovative-treatments
“A simpler State Pension: A qualitative study to explore one option for State Pension reform,” by Andrew Thomas, Josh Hunt and Alice Coulter (Research Report No. 787, January 2013, .pdf format, 150p.).
research.dwp.gov.uk/asd/asd5/report_abstracts/rr_abstracts/rra_787.asp
“Health, Education, and the Post-Retirement Evolution of Household Assets,” by James M. Poterba, Steven F. Venti, and David A. Wise (w18695, January 2013, .pdf format, 44p.).
Abstract:
This paper explores the relationship between education and the evolution of wealth after retirement. Asset growth following retirement depends in part on health capital and financial capital accumulated prior to retirement, which in turn are strongly related to educational attainment. These ‘initial conditions’ for retirement can have a lingering effect on subsequent asset evolution. Our aim is to disentangle the effects of education on post-retirement asset evolution that operate through health and financial capital accumulated prior to retirement from the effects of education that impinge directly on asset evolution after retirement. We consider the indirect effect of education through financial resources-in particular Social Security benefits and defined benefit pension benefits-and through health capital that was accumulated before retirement. We also consider the direct effect of education on asset growth following retirement, emphasizing the correlation between education and the returns households earn on their post-retirement investments. Households with different levels of education invest, on average, in different assets, and they may consequently earn different rates of return. Finally, we consider the additional effects of education that are not captured through these pathways. Our empirical findings suggest a substantial association between education and the evolution of assets. For example, for two person households the growth of assets between 1998 and 2008 is on average much greater for college graduates than for those with less than a high school degree. This difference ranges from about $82,000 in the lowest asset quintile to over $600,000 in the highest.
“Diminishing Margins: Housing Market Declines and Family Financial Responses,” by Frank Stafford, Erik Hurst and Bing Chen (WP2012-276, December 2012, .pdf format, 30p.). Note: Links to the abstract and full-text can be found at:
www.mrrc.isr.umich.edu/publications/index_abstract.cfm?ptid=1&pid=872
ICPSR’s National Archive of Criminal Justice Data announced the release of the following new datasets that may be of interest to researchers of aging on Jan. 13, 2013. Note: Some ICPSR studies are available only to ICPSR member institutions. To find out whether your organization is a member, and whether or not it supports ICPSR Direct downloading, see:
www.icpsr.umich.edu/icpsrweb/ICPSR/administration/institutions
- Bruising as a Forensic Marker of Physical Elder Abuse in Orange County, California, 2006-2008 (study no. 28144).
www.icpsr.umich.edu/icpsrweb/NACJD/studies/28144/version/1
- Financial Exploitation and Psychological Abuse of Older Adults in the Chicago Metropolitan Area, 2007-2008 [United States] (study no. 26881).
Dementia (Vol. 12, No. 1, January 2013).
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