February 5, 2018

CAAR – Demographic Research Article – February 5, 2018

Filed under: Reports and Articles — Tags: , , — admin @ 3:54 pm

The increasing mortality advantage of the married: The role played by education,” by Oystein Kravdal, Emily Grundy, and Katherine Keenan (Vol. 38, Article 20, January 2018, .pdf format, p. 471-512).

January 11, 2018

CAAR – Demographic Research Article – January 11, 2018

Filed under: Reports and Articles — Tags: , , — admin @ 4:42 pm

The role of education in the association between race/ethnicity/nativity, cognitive impairment, and dementia among older adults in the United States,” by Marc Garcia, Joseph Saenz, Brian Downer, and Rebeca Wong (Vol. 38, No. 6, January 2018, .pdf format, p. 155-168).

July 26, 2017

CAAR – Urban Institute Report – July 26, 2017

Filed under: Reports and Articles — Tags: , — admin @ 5:01 pm

Educational Differences in Employment at Older Ages,” by Richard W. Johnson and Claire Xiaozhi Wang (July 2017, .pdf format, 70p.).

April 12, 2017

CAAR – Center for Economic Studies [US Census Bureau] Working Paper – April 12, 2017

Filed under: Working Papers — Tags: , — admin @ 5:08 pm

The Impact of College Education on Old-Age Mortality: A Study of Marginal Treatment Effects,” by Evan Taylor (17-30, March 2017, .pdf format, 54p.). Note: Links to the abstract and the full text of the paper available at:

April 7, 2017

CAAR – Statistics Canada/Statistique Canada Report – April 7, 2017

Filed under: Reports and Articles — Tags: , — admin @ 4:32 pm

The Effects of Education on Canadians’ Retirement Savings Behaviour,” by Derek Messacar (Analytical Studies Branch Research Paper No. 391, March 2017, .pdf and HTML format, 32p.).

February 7, 2017

CAAR – Center for Retirement Research at Boston College Working Paper – February 7, 2017

Filed under: Working Papers — Tags: , — admin @ 4:48 pm

The Effect of Job Mobility on Retirement Timing by Education,” by Geoffrey T. Sanzenbacher, Steven A. Sass and Christopher M. Gillis (WP No. 2017-1, February 2017, .pdf format, 22p.). Note: Links to the abstract and the full text of the paper available at:

November 28, 2016

CAAR – Proceedings of the National Academy of Sciences Article Abstract – November 28, 2016

Genetic variants linked to education predict longevity,” by Riccardo E. Marioni, Stuart J. Ritchie, Peter K. Joshi, Saskia P. Hagenaars, Aysu Okbay, Krista Fischer, Mark J. Adams, W. David Hill, Gail Davies, Reka Nagy, Carmen Amador, Kristi Lall, Andres Metspalu, David C. Liewald, Archie Campbell, James F. Wilson, Caroline Hayward, Tonu Esko, David J. Porteous, Catharine R. Gale and Ian J. Deary (Vol. 113, No. 47, November 22, 2016, p. 13366–13371).

February 9, 2016

CAAR – Vienna Institute of Demography Compendium – February 9, 2016

Filed under: Reports and Articles — Tags: , , — admin @ 4:42 pm

Vienna Yearbook of Population Research: Volume 2014, edited by Alexia Fürnkranz-Prskawetz, Michael Kuhn, and Uwe Sunde (Vol. 12, February 2016, .pdf format.). Note: The theme of this issue is “Health, Education, and Retirement over the Prolonged Life Cycle.”

October 23, 2015

CAAR – Public Library of Science (PLoS) Article – October 23, 2015

Filed under: Reports and Articles — Tags: , — admin @ 4:44 pm

Gains in Life Expectancy Associated with Higher Education in Men,” by Govert E. Bijwaard, Frans van Poppel, Peter Ekamper, and L. H. Lumey (PLoS ONE 10(10): e0141200. doi:10.1371/journal.pone.0141200, XML, HTML, and .pdf format, 18p.).

July 22, 2015

CAAR – Program on the Global Demography of Aging [Harvard University] Working Paper – July 22, 2015

Filed under: Working Papers — Tags: , , , — admin @ 4:58 pm

Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data,” by Jinkook Lee, Mark E. McGovern, David E. Bloom, P. Arokiasamy, Arun Risbud, Jennifer O’Brien, Varsha Kale, and Peifeng Hu (PDGA Working Paper No. 121, February 2015, .pdf format, 32p.).


This paper examines health disparities in biomarkers among a representative sample of Indians aged 45 and older, using data from the pilot round of the Longitudinal Aging Study in India (LASI). Hemoglobin level, a marker for anemia, is lower for respondents with no schooling (0.7 g/dL less in the adjusted model) compared to those with some formal education. There are also substantial state and education gradients in underweight and overweight. The oldest old have higher levels of C-reactive protein (CRP) (1.1 mg/L greater than those aged 45-54), an indicator of inflammation and a risk factor for ardiovascular disease, as do those with greater body-mass index (an additional 1.2 mg/L for those who are obese compared to those who are of normal weight). We nd no evidence of educational or gender di erences in CRP, but respondents living in rural areas have CRP levels that are 0.8 mg/L lower than urban areas. We also find state-level disparities, with Kerala residents exhibiting the lowest CRP levels (1.96 mg/L compared to 3.28 mg/L in Rajasthan, the state with the highest CRP). We use the Blinder-Oaxaca decomposition approach to explain group-level differences, and find that state-level gradients in CRP are mainly due to heterogeneity in the association of the observed characteristics of respondents with CRP, as opposed to di erences in the distribution of endowments across the sampled state populations.

February 20, 2015

CAAR – Scripps Gerontology Center [Miami University, Oxford, Ohio] Report – February 20, 2015

Filed under: Reports and Articles — Tags: — admin @ 4:44 pm

Adult Education and Training Programs for Older Adults in the U.S.: National Results and Cross-National Comparisons Using PIAAC Data,” by Phyllis A. Cummins, Suzanne R. Kunkel, and Ryan Michael Walker (February 2015, .pdf format, 60p.).

March 13, 2014

CAAR – Demographic Research Article – March 13, 2014

Filed under: uncategorized — Tags: , , , — admin @ 4:23 pm

Education, Elderly Health, and Differential Population Aging in South Korea: A Demographic Approach,” by Bongoh Kye, Erika Arenas, Graciela Teruel, and Luis Rubalcava (Vol. 30, Article 26, March 2014, .pdf format, p. 753-794).

January 3, 2014

CAAR – Institute for Women’s Policy Research Report – January 3, 2014

Filed under: Reports and Articles — Tags: — admin @ 4:43 pm

How Education Pays Off for Older Americans,” by Heidi Hartmann and Jeff Hayes (December 2013, .pdf format, 44p.).

July 15, 2013

CAAR – Population Reference Bureau Periodical – July 15, 2013

Filed under: Reports and Articles — Tags: , — admin @ 4:20 pm

Population Bulletin (Vol. 68, No. 1, June 2013, .pdf format, 16p.). The theme article of this issue is “The Effect of Educational Attainment on Adult Mortality in the United States,” by Robert A. Hummer and Elaine M. Hernandez.

January 14, 2013

CAAR – National Bureau for Economics Research Working Paper – January 14, 2013

Filed under: Working Papers — Tags: , — admin @ 4:41 pm

“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.).


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.

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