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Do Employer Pension Contributions Reflect Employee Preferences? Evidence from a Retirement Savings Reform in Denmark
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Year: 2015 Publisher: National Bureau of Economic Research

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Family Health Behaviors
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Year: 2017 Publisher: National Bureau of Economic Research

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Family Labor Supply Responses to Severe Health Shocks
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Year: 2015 Publisher: National Bureau of Economic Research

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Market Inefficiency and Household Labor Supply : Evidence from Social Security’s Survivors Benefits
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Year: 2019 Publisher: National Bureau of Economic Research

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Paternalism and Pseudo-Rationality
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Year: 2017 Publisher: National Bureau of Economic Research

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Primary Care Physician Practice Styles and Patient Care : Evidence from Physician Exits in Medicare
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Year: 2019 Publisher: National Bureau of Economic Research

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Early Career, Life-Cycle Choices, and Gender
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Year: 2020 Publisher: National Bureau of Economic Research

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Digital
Paternalism and Pseudo-Rationality
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Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Resource allocations are jointly determined by the actions of social planners and households. In this paper we highlight the distinction between planner optimization and household optimization. We show that planner optimization is a substitute for household optimization and that this is true even when there are information asymmetries, so that households know more about their preferences than planners. Our analysis illustrates the scope for mis-attribution in economic analysis. Are seemingly optimal allocations caused by optimizing households, or are such allocations caused by planners who paternalistically influence myopic and passive households? We show that widely studied allocative optimality conditions that are implied by household optimization also arise in an economy with a rational planner who uses tools such as default savings and Social Security to influence the choices of non-optimizing households. Many classical optimization conditions do not resolve the question of household optimization. Pseudo-rationality arises when rational planners elicit approximately optimal behavior from non-optimizing households.


Digital
Household Responses to Severe Health Shocks and the Design of Social Insurance
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Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This paper studies how households respond to severe health shocks and the insurance role of spousal labor supply. In the empirical part of the paper, we provide new evidence on individuals' labor supply responses to spousal health and mortality shocks. Analyzing administrative data on over 500,000 Danish households in which a spouse dies, we find that survivors immediately increase their labor supply and that this effect is entirely driven by those who experience significant income losses due to the shock. Notably, widows - who experience large income losses when their husbands die - increase their labor force participation by more than 11%, while widowers - who are significantly more financially stable - decrease their labor supply. In contrast, studying over 70,000 households in which a spouse experiences a severe health shock but survives - for whom income losses are well-insured in our setting - we find no economically significant spousal labor supply responses, suggesting adequate insurance coverage for morbidity (vs. mortality) shocks. In the theoretical part of the paper, we develop a method for welfare analysis of social insurance using only spousal labor supply responses. In particular, we show that the labor supply responses of spouses fully identify the welfare gains from insuring households against health and mortality shocks. Our findings imply large welfare gains from transfers to survivors and identify efficient ways for targeting government transfers.


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Family Health Behaviors
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Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This paper studies how health behaviors and investments are shaped through family spillovers. Leveraging administrative healthcare data, we identify the effects of health shocks to individuals on their family members' consumption of preventive care and health-related behaviors. Our identification strategy utilizes the timing of shocks to construct counterfactuals for 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. Notably, we show that these spillover effects are far-reaching and cascade to siblings, stepchildren, sons and daughters in-law, and even "close" coworkers. While some responses are consistent with learning new information about one's own health, evidence from cases where shocks are likely uninformative points to salience as a major operative explanation. Our results underscore the importance of one's family and social network for models of health behaviors and have potential implications for policies that aim to improve population health.

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