Families, primarily female-headed minority households with children, living in high-poverty public housing projects in five U.S. cities were offered housing vouchers by lottery in the Moving to Opportunity program. Four to seven years after random assignment, families offered vouchers lived in safer neighborhoods that had lower poverty rates than those of the control group not offered vouchers. We find no significant overall effects of this intervention on adult economic self-sufficiency or physical health. Mental health benefits of the voucher offers for adults and for female youth were substantial. Beneficial effects for female youth on education, risky behavior, and physical health were offset by adverse effects for male youth. For outcomes that exhibit significant treatment effects, we find, using variation in treatment intensity across voucher types and cities, that the relationship between neighborhood poverty rate and outcomes is approximately linear. Copyright The Econometric Society 2007.

Over the past half century, Americans spent a rising share of total economic resources on health and enjoyed substantially longer lives as a result. Debate on health policy often focuses on limiting the growth of health spending. We investigate an issue central to this debate: Is the growth of health spending a rational response to changing economic conditions—notably the growth of income per person? We develop a model based on standard economic assumptions and argue that this is indeed the case. Standard preferences—of the kind used widely in economics to study consumption, asset pricing, and labor supply—imply that health spending is a superior good with an income elasticity well above one. As people get richer and consumption rises, the marginal utility of consumption falls rapidly. Spending on health to extend life allows individuals to purchase additional periods of utility. The marginal utility of life extension does not decline. As a result, the optimal composition of total spending shifts toward health, and the health share grows along with income. In projections based on the quantitative analysis of our model, the optimal health share of spending seems likely to exceed 30 percent by the middle of the century.

In this paper, we consider optimal insurance and consumption rules for a wage earner whose lifetime is random. The wage earner is endowed with an initial wealth, and he also receives an income continuously, but this may be terminated by the wage earner’s premature death. We use dynamic programming to analyze this problem and derive the optimal insurance and consumption rules. Explicit solutions are found for the family of CRRA utilities, and the demand for life insurance is studied by examining our solutions and doing numerical experiments.

Taxable portfolios present challenges for optimization models with even a limited number of assets. Holding many assets, however, has a distinct tax advantage over holding few assets. In this paper, we develop a model that takes an extreme view of a portfolio as a continuum of assets to gain the broadest possible advantage from holding many assets. We find the optimal strategy for trading in this portfolio in the absence of transaction costs and develop bounding approximations on the optimal value. We compare the results in a simulation study to a portfolio consisting only of a market index and show that the multi-asset portfolio’s tax advantage can lead either to significant consumption or bequest increases.

The term structure of interest rates is often summarized using a handful of yield factors that capture shifts in the shape of the yield curve. In this paper, we develop a comprehensive model for volatility dynamics in the level, slope, and curvature of the yield curve that simultaneously includes level and GARCH effects along with regime shifts. We show that the level of the short rate is useful in modeling the volatility of the three yield factors and that there are significant GARCH effects present even after including a level effect. Further, we find that allowing for regime shifts in the factor volatilities dramatically improves the model’s fit and strengthens the level effect. We also show that a regime-switching model with level and GARCH effects provides the best out-of-sample forecasting performance of yield volatility. We argue that the auxiliary models often used to estimate term structure models with simulation-based estimation techniques should be consistent with the main features of the yield curve that are identified by our model.

We examine how investment banks use initial public offerings (IPOs) in relation to their affiliated mutual funds. The dumping ground hypothesis predicts that the lead underwriter allocates cold IPOs to its affiliated funds so that more deals can be completed when demand for these IPOs is weak. Affiliated funds could also receive more cold IPOs because the lead underwriter uses allocations of hot IPOs to unaffiliated funds to gain trading commission business. The nepotism hypothesis predicts that the lead underwriter allocates hot IPOs to its affiliated funds to boost their performance and thus attract more money. We find little evidence supporting the dumping ground hypothesis, although some evidence supports the nepotism hypothesis, especially during the internet bubble period of 1999–2000.

We study the formation of beliefs in a squatter settlement in the outskirts of Buenos Aires exploiting a natural experiment that induced an allocation of property rights that is exogenous to the characteristics of the squatters. There are significant differences in the beliefs that squatters with and without land titles declare to hold. Lucky squatters who end up with legal titles report beliefs closer to those that favor the workings of a free market. Examples include materialist and individualist beliefs (such as the belief that money is important for happiness or the belief that one can be successful without the support of a large group). The effects appear large. The value of a (generated) index of “market” beliefs is 20 percent higher for titled squatters than for untitled squatters, in spite of leading otherwise similar lives. Moreover, the effect is sufficiently large so as to make the beliefs of the squatters with legal titles broadly comparable to those of the general Buenos Aires population, in spite of the large differences in the lives they lead.

We develop an index of segregation based on two premises: (1) a measure of segregation should disaggregate to the level of individuals, and (2) an individual is more segregated the more segregated are the agents with whom she interacts. We present an index that satisfies (1) and (2) and that is based on agents' social interactions: the extent to which blacks interact with blacks, whites with whites, etc. We use the index to measure school and residential segregation. Using detailed data on friendship networks, we calculate levels of within-school racial segregation in a sample of U. S. schools. We also calculate residential segregation across major U. S. cities, using block-level data from the 2000 U. S. Census.

This article reports the results of an experiment designed to assess the impact of last-sale trade reporting on the liquidity of BBB corporate bonds. Overall, adding transparency has either a neutral or a positive effect on liquidity. Increased transparency is not associated with greater trading volume. Except for very large trades, spreads on newly transparent bonds decline relative to bonds that experience no transparency change. However, we find no effect on spreads for very infrequently traded bonds. The observed decrease in transaction costs is consistent with investors’ ability to negotiate better terms of trade once they have access to broader bond-pricing data.