We analyze whether or not informal family caregiving worsens caregivers’ health and life satisfaction among Japanese married middle‐aged and elderly individuals from the Japanese Study of Aging and Retirement. Unlike previous studies, we distinguish between wives and husbands as caregivers and between one's own and one's spouse's parents as care recipients. We find women's depressive state is negatively associated with caregiving for spousal parents both in our instrumental variable estimations and fixed‐effect panel analysis, and also find women's life satisfaction is negatively associated with caregiving for spousal parents in our fixed‐effect panel analysis, though only marginally so. However, as our results are marginally significant, caregiving for either own or spousal parents does not seem to matter much for caregiver's health or life satisfaction. All that can be said for certain in our paper is that men's subjective health, depressive state, and life satisfaction are generally less sensitive to informal care, for both spousal and own parents, than that of women.
We study whether and how time preferences change over the life cycle, exploiting representative long-term panel data. We estimate the age patterns of discount rates from age 25 to 80. In order to identify age effects, we have to disentangle them from cohort and period factors. We address this identification problem by estimating individual fixed effects models, where we substitute period effects with determinants of time preferences that depend on calendar years. We find that discount rates decrease with age and the decline is remarkably linear over the life cycle.
Most economic models assume that time preferences are stable over time, but the evidence on their long-term stability is lacking. We study whether and how time preferences change over the life cycle, exploiting representative long-term panel data. We provide new evidence that discount rates decrease with age and the decline is remarkably linear over the life cycle. Decreasing discounting helps a canonical life-cycle model to explain the household saving puzzles of undersaving when young and oversaving after retirement. Relative to the model with constant discounting, the model's fit to consumption and asset data profiles improves by 40% and 30%, respectively.
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