Linking Changes in Inequality in Life Expectancy and Mortality:Evidence from Denmark and the United States

We decompose changing gaps in life expectancy between rich and poor into differential changes in age-specific mortality rates and differences in “survivability”. Declining age-specific mortality rates increases life expectancy, but the gain is small if the likelihood of living to this age is small (ex ante survivability) or if the expected remaining lifetime is short (ex post survivability). Lower survivability of the poor explains half of the recent rise in life expectancy inequality in the US and the entire rise in Denmark. Cardiovascular mortality declines favored the poor, but differences in lifestyle-related survivability led inequality to rise

Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark

Using 41 million observations on savings for the population of Denmark, we show that the effects of retirement savings policies on wealth accumulation depend on whether they change savings rates by active or passive choice. Subsidies for retirement accounts, which rely on individuals to take an action to raise savings, primarily induce individuals to shift assets from taxable accounts to retirement accounts. We estimate that each $1 of government expenditure on subsidies increases total saving by only 1 cent. In contrast, policies that raise retirement contributions if individuals take no action—such as automatic employer contributions to retirement accounts—increase wealth accumulation substantially. We estimate that approximately 15% of individuals are “active savers” who respond to tax subsidies primarily by shifting assets across accounts; 85% of individuals are “passive savers” who are unresponsive to subsidies but are instead heavily influenced by automatic contributions made on their behalf. Active savers tend to be wealthier and more financially sophisticated. We conclude that automatic contributions are more effective at increasing savings rates than subsidies for three reasons: (i) subsidies induce relatively few individuals to respond, (ii) they generate substantial crowd-out conditional on response, and (iii) they do not increase the savings of passive individuals, who are least prepared for retirement.Statistic

Family Health Behaviors

This paper studies how health behaviors and investments are shaped through intra- and inter-generational family spillovers. Specffically, leveraging administrative healthcare data, we identify the effects of health shocks to individuals on their family members' consumption of preventive care and utilization indicative of health-related behaviors. Our identification strategy relies on the timing of shocks by constructing counterfactuals to affected households using households that experience the same shock but a few years in the future. We find that spouses and adult children immediately increase their health investments and improve their health behaviors in response to family shocks, and that these effects are both significant and persistent for at least several years. Notably, we find that these spillover effects in consumption of healthcare are far-reaching and cascade to siblings, stepchildren, sons and daughters in-law, and even "close" coworkers. Using different strategies we show that while a variety of mechanisms seem to be at play, including learning new information about one's own health, there is consistent evidence in support of salience as a major operative explanation, even when the family shock was likely uninformative. Our results have implications for models of health behaviors, by underscoring the importance of one's family and social network in their determination, and are potentially informative for policies that aim to improve population health

Economic Resources, Mortality and Inequality

Using full-population register data from Denmark, this study shows that estimates of the economic gradient in mortality depends on the specific measure of economic resources used, where we investigate permanent income, annual income or financial and housing wealth. Our favorite measure is what we call 'Permanent income', that is the average level of income over a long interval. We find that when using annual income or current wealth, the gradient is overestimated, unless one controls for a number of additional variables, such as education, civil status and initial health. In the last part of the paper, we compare the results from Denmark to results from the UK. Although the countries are very different in terms of inequality, the estimates of the gradient we find are very similar, suggesting that differential levels of resources (including information), rather than inequality itself, determine the gradient in survival and mortality