Life Insurance, Precautionary Saving and Contingent Bequest

Purchasing life insurance is for the welfare of young children, par-ticularly preteens, who are liquidity constrained. In this paper, we present a life cycle model of life insurance that takes into account the ages of these young beneciaries. We show that, as the child ages, the need for protection is reduced and, consequently, the size of contingent bequest may shrink. The demand for life insurance is positively related to the number, age differentials, living standards, and the time needed to reach adulthood. Also, the breadwinner's life-time uncertainty and the unfairness of the insurance market encourage precautionary saving.Loading factor, birth order, actuarial rate of interest, and the age of independence

Saving Motives over the Life-Cycle

A major challenge in the study of saving behavior is how to disentangle different motives for saving. We approach this question in the context of an entire life-cycle model. Specifically, we identify the importance of different saving motives by simultaneously accounting for wealth accumulation during working period, wealth decumulation during retirement, and labor supply behavior. We show that exploiting all of these data features can sharpen our identification, thus complementing previous studies that focus only on wealth accumulation or decumulation. We calibrate our model using several micro datasets and use the estimated model to evaluate the contribution of life-cycle, bequest, and precautionary motives to total savings. We also emphasize the importance of accounting for state-contingent assets when analyzing the precautionary saving motive

Saving Motives over the Life-Cycle

A major challenge in the study of saving behavior is how to disentangle different motives for saving. We approach this question in the context of an entire life-cycle model. Specifically, we identify the importance of different saving motives by simultaneously accounting for wealth accumulation during working period, wealth decumulation during retirement, and labor supply behavior. We show that exploiting all of these data features can sharpen our identification, thus complementing previous studies that focus only on wealth accumulation or decumulation. We calibrate our model using several micro datasets and use the estimated model to evaluate the contribution of life-cycle, bequest, and precautionary motives to total savings. We also emphasize the importance of accounting for state-contingent assets when analyzing the precautionary saving motive

Asset Allocation and Location over the Life Cycle with Survival-Contingent Payouts

This paper shows how lifelong survival-contingent payouts can enhance investor wellbeing in the context of a portfolio choice model which integrates uninsurable labor income and asymmetric mortality expectations. Our model generates optimal asset location patterns indicating how much to hold in liquid versus illiquid survival-contingent payouts over the lifetime, and also asset allocation paths, showing how to invest in stocks versus bonds. We conrm that the investor will gradually move money out of her liquid saving into survivalcontingent assets to retirement and beyond, thereby enhancing her welfare by as much as 50 percent. The results are also robust to the introduction of uninsurable consumption shocks in housing expenses, income flows during the worklife and retirement, sudden changes in health status, and medical expenses.

The Trajectory of Wealth in Retirement

In this paper, we develop a measure of household resources that converts total financial, nonfinancial, and annuitized assets into an expected annual amount of wealth per person in retirement. We use this measure, which we call "annualized comprehensive wealth," to investigate spend-down behavior among a panel of older households in the Health and Retirement Study (HRS) from 1998 to 2006. Our analysis indicates that for most retired households, comprehensive wealth balances decline much more slowly than their remaining life expectancies, so that the predominate trend is for real annualized wealth actually to rise significantly with age over the course of retirement. Comparing the estimated age profiles for annualized wealth with profiles simulated from several different life cycle models, we find that a model that takes into account uncertain longevity, random medical expenses, and intended bequests lines up best with the broad patterns of rising annualized wealth in the HRS.Retirement wealth, life-cycle saving, mortality risk, precautionary saving, bequests, risk and uncertainty.

The Joy of Giving or Assisted Living? Using Strategic Surveys to Separate Bequest and Precautionary Motives

Strong bequest motives can explain low retirement spending, but so equally can strong precautionary motives. Given this identification problem, the recent tradition has been largely to ignore bequest motives. We develop a rich model of spending in retirement that allows for both motives, and introduce a "Medicaid aversion" parameter that plays a key role in determining precautionary savings. We implement a "strategic" survey to resolve the identification problem between bequest and precautionary motives. We find that strong bequest motives are too prevalent to be ignored. Moreover, Medicaid aversion is widespread, and helps explain the low spending of many middle class retirees.

Optimizing the Equity-Bond-Annuity Portfolio in Retirement: The Impact of Uncertain Health Expenses

This paper derives optimal equity-bond-annuity asset portfolios for households in the retirement phase who, with or without a bequest motive, face stochastic capital market returns, have differential exposures to mortality risk and uncertain uninsured health expenses, and have differential Social Security and defined benefit pension coverage. The numerical results show that the presence of health spending risk drives households to shift their portfolios from risky equities to safer assets and works to enhance the demand for annuities due to their increasingwith-age superiority over bonds as a hedge against life-contingent health spending as well as longevity risks. The safe and higher-return annuities in turn provide a greater leverage for equity investment in the remaining asset portfolios. This health-spending-uncertainty-enhanced optimal annuitization result is compatible with the broader theory about liquidity constraints and precautionary savings

The Impact of Annuity Insurance on Savings and Inequality

This is the first paper to document the effect of health on the migration propensities of African Americans in the American past. Using both IPUMS and the Colored Troops Sample of the Civil War Union Army Data, I estimate the effects of literacy and health on the migration propensities of African Americans from 1870 to 1910. I find that literacy and health shocks were strong predictors of migration and the stock of health was not. There were differential selection propensities based on slave status—former slaves were less likely to migrate given a specific health shock than free blacks. Counterfactuals suggest that as much as 35% of the difference in the mobility patterns of former slaves and free blacks is explained by differences in their human capital, and more than 20% of that difference is due to health alone. Overall, the selection effect of literacy on migration is reduced by one-tenth to one-third once health is controlled for. The low levels of human capital accumulation and rates of mobility for African Americans after the Civil War are partly explained by the poor health status of slaves and their immediate descendants.

The Implications of Insurance for the Efficacy of Fiscal Policy

Various tax policies provide consumers with forms of insurance. Social security has the payoff characteristics of an annuity. The income tax provides consumers with a degree of Income insurance because the government shares part of the individual\u27s income risk. Redistributive taxes can be used to spread aggregate income risks across different generations The effects of these and other tax policies are shown to depend crucially on the nature of existing private insurance arrangements