We investigate univariate and multivariate risk preferences for health (longevity) and wealth. We measure attitudes toward correlation and attitudes toward higher order dependence structures such as cross-prudence and cross-temperance, making use of the risk apportionment technique proposed by Eeckhoudt et al. (2007). For multivariate gains, we find correlation aversion and cross-prudence in longevity and wealth. For losses, we observe correlation seeking and cross-imprudence. We do not find clear evidence for cross-temperance. Our results indicate that longevity and wealth are considered to be substitutes for gains, but not for losses. Second, univariate (higher order) risk preferences are comparable for longevity and wealth, although somewhat closer to linearity for wealth. Third, we find evidence that attitudes toward dependence structures in the health domain are sign-dependent.
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http://dx.doi.org/10.1016/j.jhealeco.2018.12.004 | DOI Listing |
Demography
December 2024
Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK.
Owning a home has long been touted as a key component of the idealized "American Dream." Homeownership is associated with greater wealth and better health, but the causal impact of homeownership on health remains unclear. Using linked complete-count census and Social Security mortality records, I document Black-White disparities in homeownership rates and produce the first U.
View Article and Find Full Text PDFFront Public Health
September 2024
School of Economics, Minzu University of China, Beijing, China.
Population-wide increase in life expectancy is a source of aggregate longevity risk. Life insurance is a natural instrument to manage the risk. Previous studies used chronological age to examine the relationship between aging and life insurance purchase, which ignored the impact of subjective life expectancy-the real perception of remaining time.
View Article and Find Full Text PDFArch Gerontol Geriatr
January 2025
Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, V6T 1Z3, Canada; Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, V6T 1Z3, Canada; Centre for Advancing Health Outcomes, Providence Healthcare Research Institute, St. Paul's Hospital, Vancouver, British Columbia, V6Z 1Y6, Canada; Edwin S.H. Leong Centre for Healthy Aging, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, V6T 1Z3, Canada. Electronic address:
Social isolation matters for health and longevity, but little research examines transitions into or out of social isolation or whether transitions are gendered or socially patterned. We described gender-specific trends in breadth and lack of social participation over 6 years overall and by age, country of origin, geographic location, education, wealth, and household income. We used three waves of CLSA data to evaluate changes in social isolation (0-1 activities) and broad social participation (5+ activities) in adults aged 45-75 (n = 24,788), by gender and socio-demographics, in linear and multinomial logistic regressions with post-estimated predicted probabilities.
View Article and Find Full Text PDFRev Sci Instrum
August 2024
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.
Magnetically confined plasma experiments generate a wealth of spectroscopic data. The first step toward extracting physical parameters is to fit a spectral model to the often complex spectra. The CXSFIT (Charge eXchange Spectroscopy FITting) spectral fitting code was originally developed for fitting charge exchange spectra on JET from the late 1980s onward and has been further developed over decades to keep up with the needs of the users.
View Article and Find Full Text PDFSci Rep
July 2024
Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Sampling groundwater biodiversity is difficult because of limited access and issues with species identification. Environmental DNA (eDNA) provides a viable alternative to traditional sampling approaches, however limited knowledge of the abundance and fate of DNA in groundwater hinders the interpretation of data from these environments. Groundwater environments are dark and have lower oxygen concentrations and microbial activity than surface waters.
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