The Berkeley Center on the Economics and Demography of Aging (CEDA) has had NIA support for 14 years, first as a P20 center and then as a P30. During that time, CEDA has earned an international reputation as one of the leading research centers in the world for the economics and demography of aging, and more recently for the biodemography of aging, complementing the Department of Demography as a leading training program in demography and aging. CEDA membership has grown from about dozen initially, to 39 interdisciplinary members now, with affiliations in Demography (9), Economics (24), Biology (4), Sociology (1), Public Policy (2), Anthropology (2), and Public Health (6). The 39 members of CEDA are exceptionally distinguished, including: 1 Nobel Prize, 3 John Bates Clark, 5 Nat Acad Sci, 1 MacArthur, 3 Shepps, 1 Taueber, and 1 Clogg. CEDA has fully or partially funded ten major meetings during the current grant cycle, organized by nine different members. CEDA has funded 30 pilot projects (including 5 supplements) submitted by 23 different investigators. There are three major distinctive CEDA programs, each involving many participants, in many different countries: Biodemography (P01), Human Mortality Database (R01), and National Transfer Accounts (R01 and R37-MERIT). This and other research by CEDA members falls under five broad themes: 1) Biodemography of aging (evolutionary theory;biological experiments;genomic analysis;data building;microsimulations). 2) Demographic and fiscal projections and analysis. 3) Health, Disability and Mortality. 4) Behavioral, Psychological and Experimental Economics 5) Intergenerational Transfers and Population aging. This cycle, CEDA proposes a major effort to develop Behavioral and Experimental Economic approaches to aging-related decision making, and hopes there will be a Program Project (P01) submission on Behavioral Economics of Aging. Increased funding is sought to support this push in Behavioral Economics, for the projections sub-core (funded by OBSSR last round), to continue the pilot project program, to build networks through workshops and visitors, to improve web-based dissemination, and to increase infrastructural support for research and administration.
Longer life and improving health status change the parameters of the life cycle and require changes in saving behavior, retirement age, intergenerational relations, and so on. Increases in obesity and decreases in smoking behavior influence these trends. Longer life and lower fertility lead to population aging which brings additional need to adjust institutions, policies and individual behavior. The proposed aging center will study these changes at the level of the individual and society, and consider the adequacy of our decision making capabilities in the face of these challenges.
|Rosero-Bixby, Luis; Dow, William H (2016) Exploring why Costa Rica outperforms the United States in life expectancy: A tale of two inequality gradients. Proc Natl Acad Sci U S A 113:1130-7|
|Glei, Dana A; Goldman, Noreen; Risques, Rosa Ana et al. (2016) Predicting Survival from Telomere Length versus Conventional Predictors: A Multinational Population-Based Cohort Study. PLoS One 11:e0152486|
|SÃ¡ez, Ignacio; Zhu, Lusha; Set, Eric et al. (2015) Dopamine modulates egalitarian behavior in humans. Curr Biol 25:912-9|
|Barbieri, Magali; Wilmoth, John R; Shkolnikov, Vladimir M et al. (2015) Data Resource Profile: The Human Mortality Database (HMD). Int J Epidemiol 44:1549-56|
|Bailey, Martha J; Goodman-Bacon, Andrew (2015) The War on Poverty's Experiment in Public Medicine: Community Health Centers and the Mortality of Older Americans. Am Econ Rev 105:1067-1104|
|Riffe, Tim (2015) The force of mortality by life lived is the force of increment by life left in stationary populations. Demogr Res 32:827-834|
|Saez, Ignacio; Set, Eric; Hsu, Ming (2014) From genes to behavior: placing cognitive models in the context of biological pathways. Front Neurosci 8:336|
|Bertoux, Maxime; Cova, Florian; Pessiglione, Mathias et al. (2014) Behavioral variant frontotemporal dementia patients do not succumb to the Allais paradox. Front Neurosci 8:287|
|Wachter, Kenneth W; Steinsaltz, David; Evans, Steven N (2014) Evolutionary shaping of demographic schedules. Proc Natl Acad Sci U S A 111 Suppl 3:10846-53|
|Gelman, Michael; Kariv, Shachar; Shapiro, Matthew D et al. (2014) Microeconomics. Harnessing naturally occurring data to measure the response of spending to income. Science 345:212-5|
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