What to Do at Low Doses: A Bounding Approach for Economic Analysis

To quantify the health benefits of environmental policies, economists generally require estimates of the reduced probability of illness or death. For policies that reduce exposure to carcinogenic substances, these estimates traditionally have been obtained through the linear extrapolation of experimental dose-response data to low-exposure scenarios as described in the U.S. Environmental Protection Agency's Guidelines for Carcinogen Risk Assessment (1986). In response to evolving scientific knowledge, EPA proposed revisions to the guidelines in 1996. Under the proposed revisions, dose-response relationships would not be estimated for carcinogens thought to exhibit nonlinear modes of action. Such a change in cancer-risk assessment methods and outputs will likely have serious consequences for how benefit-cost analyses of policies aimed at reducing cancer risks are conducted. Any tendency for reduced quantification of effects in environmental risk assessments, such as those contemplated in the revisions to EPA's cancer-risk assessment guidelines, impedes the ability of economic analysts to respond to increasing calls for benefit-cost analysis. This article examines the implications for benefit-cost analysis of carcinogenic exposures of the proposed changes to the 1986 Guidelines and proposes an approach for bounding dose-response relationships when no biologically based models are available. In spite of the more limited quantitative information provided in a carcinogen risk assessment under the proposed revisions to the guidelines, we argue that reasonable bounds on dose-response relationships can be estimated for low-level exposures to nonlinear carcinogens. This approach yields estimates of reduced illness for use in a benefit-cost analysis while incorporating evidence of nonlinearities in the dose-response relationship. As an illustration, the bounding approach is applied to the case of chloroform exposure.     

Valuation of childhood risk reduction: the importance of age, risk preferences, and perspective.

This article explores two problems analysts face in determining how to estimate values for children's health and safety risk reductions. The first addresses the question: Do willingness‐to‐pay estimates for health risk changes differ across children and adults and, if so, how? To answer this question, the article first examines the potential effects of age and risk preferences on willingness to pay. A summary of the literature reporting empirical evidence of differences between willingness to pay for adult health and safety risk reductions and willingness to pay for health and safety risk reductions in children is also provided. The second dimension of the problem is a more fundamental issue: Whose perspective is relevant when valuing children's health effects—society's, children's, adults‐as‐children, or parents'? Each perspective is considered, followed ultimately by the conclusion that adopting a parental perspective through an intrahousehold allocation model seems closest to meeting the needs of the estimation problem at hand. A policy example in which the choice of perspective affects the outcome of a regulatory benefit‐cost analysis rounds out the article and emphasizes the importance of perspective.     

Property,gender and the life course: Inheritance and family welfare provision in early nineteenth-century England

Drawing upon detailed research of inheritance practices in early nineteenth-century Stockport, this article examines how married men attempted to provide for their families after their death. It is argued that inheritance acted as an informal family welfare mechanism through which specific gender relations associated with middle-class households were reproduced. The evidence presented suggests that married male testators often used inheritance to try and 'fix' their wives into widowhood. Widows were frequently required to act as custodians of family property and maintain the domestic order. Access to property was carefully controlled and various legal devices were used to give authority to the process and ensure that the estate was used by widows to care and provide for children in certain, carefully stipulated ways. In making these claims, the article argues that recent revisionist studies that have attempted to highlight the proprietorial autonomy of middle-class women in industrializing communities ignore the forces at work which constrained the free use of property by women at certain stages in the life course. The findings of the study are also used to highlight the ways in which middle-class men's uses of property were materially and ideologically 'constrained'.     

CALIBRATING MEASURES OF FAMILY ACTIVITIES BETWEEN LARGE- AND SMALL-SCALE DATA SETS

Two studies of working families are combined to demonstrate a strategy for producing reliable estimates from the combination of self-reported (large N) and observational (small N) data. Both studies examine where and how dual-career families spend time at home. The 500 Family Study is sociological and uses self-reported time diary data from a national sample; the CELF study is anthropological and uses observational scan sampling data from a regional sample of 32 families. The data are combined as if they constitute one sample, and an analytic solution for establishing the reliability of the resulting composite estimates of time use is provided. Merging the data sets provides validation for each study, neither of which is without potential methodological weaknesses. The advantages of combining data from the independent data collection methods are discussed, and selected substantive findings on families' activities are highlighted, illustrating similarities and differences between findings in the independent and combined data sets. Results show that working families spend significant time in a small spectrum of home spaces, particularly kitchens and living rooms, with leisure activities prevailing, but mothers, fathers, and children differ in where and how they spend their time. Overall, a template for merging data from different disciplines and methods is provided.     

Unequal Opportunity: School and Neighborhood Segregation in the USA

Race and Social Problems - School and neighborhood segregation are intertwined in complex ways. Schools reflect segregated neighborhoods, and school considerations reinforce neighborhood...     

Using Photovoice to Empower Youth and Adults to Prevent Crime

Photovoice empowers residents to use photographs to identify neighborhood concerns. Although Photovoice has been used to facilitate dialogue and action among residents to address a variety of issues, including neighborhood crime, it has not been used as part of an intervention to promote collective efficacy. This project integrated Photovoice into a crime-prevention program the goal of which was to facilitate collective efficacy, which. in turn, has been associated with lower levels of neighborhood crime and violence. Twenty-four racially diverse youth and adults participated in a crime-prevention training where Photovoice was used first to identify neighborhood characteristics that participants believed contributed to and alleviated crime, and then to develop a community project. Participants worked together to reuse a highly visible vacant lot to create an inviting neighborhood art and garden space that was open to the whole community. This process facilitated stronger social ties among neighborhood residents, as well as strategies for intervening in neighborhood problems, both of which are important components of collective efficacy.     

A Convolution Estimator for the Density of Nonlinear Regression Observations

Abstract. The problem of estimating an unknown density function has been widely studied. In this article, we present a convolution estimator for the density of the responses in a nonlinear heterogenous regression model. The rate of convergence for the mean square error of the convolution estimator is of order n ^?1 under certain regularity conditions. This is faster than the rate for the kernel density method. We derive explicit expressions for the asymptotic variance and the bias of the new estimator, and further a data‐driven bandwidth selector is proposed. We conduct simulation experiments to check the finite sample properties, and the convolution estimator performs substantially better than the kernel density estimator for well‐behaved noise densities.     

Nonbiologic Objects as Actors

We generally understand interactions between human actors and nonbiologic objects (NBOs) as being indirect, with the human actor acting for the NBO and using the NBO as a “thing.” Under certain circumstances, however, human actors enter into direct interaction with NBOs and take on extra work in this process. Actors must “do mind” for the nonbiologic other to perceive “another” with whom it is possible to interact. The fiction that mind can exist where thought cannot be present is counterintuitive, making this process tenuous and heavily dependent upon the circumstances at hand. Four successive contingencies must be present to make possible the perceptual shift from object to actor. First, the actor must perceive the object in question as capable of independent action, whether or not the human actor initiates said action. Second, this separate and active status must become apparent through actions that threaten the human actor's desired goals. Third, these goals must be of sufficient urgency to warrant continuing in direct interaction with the object rather than reverting to nonanthropomorphized normal interaction. Finally, the object at hand must be necessary for completing the desired task.