53 research outputs found

    Why are Retirement Rates So High at Age 65?

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    In most data sets of labor force participation of the elderly, an empirical regularity that emerges is that retirement rates are particularly high at age 65. While there are numerous economic reasons why individuals may choose to retire at 65, empirical models that have attempted to explain the age-65 spike have met with limited success. Interpreted another way, while many models would predict a jump in the hazard rate at age 65, the magnitude of the spike indicates excessive response given the economic considerations that retirees typically face. This paper considers the puzzle of why retirement rates are so high at age 65 and explores a variety of explanations.

    Three Models of Retirement: Computational Complexity Versus Predictive Validity

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    Empirical analysis often raises questions of approximation to underlying individual behavior. Closer approximation may require more complex statistical specifications, On the other hand, more complex specifications may presume computational facility that is beyond the grasp of most real people and therefore less consistent with the actual rules that govern their behavior, even though economic theory may push analysts to increasingly more complex specifications. Thus the issue is not only whether more complex models are worth the effort, but also whether they are better. We compare the in-sample and out-of-sample predictive performance of three models of retirement -- "option value," dynamic programming, and probit -- to determine which of the retirement rules most closely matches retirement behavior in a large firm. The primary measure of predictive validity is the correspondence between the model predictions and actual retirement under the firm's temporary early retirement window plan. The "option value" and dynamic programming models are considerably more successful than the less complex probit model in approximating the rules individuals use to make retirement decisions, but the more complex dynamic programming rule approximates behavior no better than the simpler option value rule.

    Unit Roots, Postwar Slowdowns and Long-Run Growth: Evidence from Two Structural Breaks

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    This paper provides evidence on the unit root hypothesis and long-term growth by allowing for two structural breaks. We reject the unit root hypothesis for three-quarters of the countries approximately 50% more rejections than in models that allow for only one break. While about half of the countries exhibit slowdowns following their postwar breaks, the others have grown along paths that have become steeper over the past 120 years. The majority of the countries, including most of the slowdown countries, exhibit faster growth after their second breaks than during the decades preceding their first breaks.

    Pension Plan Provisions and Retirement: Men & Women, Medicare, and Models

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    The ongoing analysis of the effects of pension plan provisions on retirement is pursued in this paper. A primary objective of this paper is to test the validity of models previously developed and estimated with data from a Fortune 500 company, here using data from a second large company. The evidence confirms that changes in the retirement rates by age correspond closely to provisions of the firm pension plan. There is essentially no difference in the retirement behavior of men and women. As in previous work, it is found that simpler "option value model" of retirement yields very similar results to the considerably more complex stochastic dynamic programming specification. Both fit the data well and predict rather well the effect on retirement of a special retirement window plan, Some consideration is also given to the effects of firm health insurance and median coverage on retirement.

    Foreign Aid as a Signal to Investors: Predicting FDI in Post-conflict Countries

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    Does development aid attract foreign direct investment (FDI) in post-conflict countries? This article contributes to the growing literature on effects of aid and on determinants of FDI by explaining how development aid in low-information environments is a signal that can attract investment. Before investing abroad, firms seek data on potential host countries. In post-conflict countries, reliable information is poor, in part because governments face unusual incentives to misrepresent information. In these conditions, firms look to signals. One is development aid, because donors tend to give more to countries they trust to properly handle the funds. Our results show that aid seems to draw FDI—however, this is conditional on whether the aid can be considered geostrategically motivated. We also show that this effect decreases as time elapses after the conflict. This suggests that aid’s signaling effect is specific to low-information environments, and helps rule out alternative causal mechanisms linking aid and FDI

    The Effect of Medicare Eligibility on Spousal Insurance Coverage

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    A majority of married couples in the United States take advantage of the fact that employers often provide health insurance coverage to spouses. When the older spouses become eligible for Medicare, however, many of them can no longer provide their younger spouses with coverage. In this paper, we study how spousal eligibility for Medicare affects the health insurance and health care access of the younger spouse. We find spousal eligibility for Medicare results in the younger spouse having worse insurance coverage and reduced access to health care services
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