Nanotechnology: The Challenge of Regulating Known Unknowns

Media reports of the health hazards posed by nano-sized particles (NSPs) have turned a white hot spotlight on the risks of nanotechnology. Worried about the risks posed to workers producing nano-materials, the Washington Post has labeled nanotechnology a "seat-of-the-pants occupational health experiment." This article examines our emerging knowledge base about the hazards of two types of exposure: inhalation of NSPs and topical application of products containing NSPs. It argues that a clear-eyed evaluation of the benefits and risks of nanotechnology is made extremely difficult by the marriage of a complex science with a venture capitalist-like hype. It then suggests that, absent additional statutory authority, governmental regulators cannot readily address the risks posed by these products. This regulatory inaction leaves a significant role for the private insurance market, a role that regulators should support in tangible ways outlined in the article.     

Scaling legislative decision making: A methodological exercise

Previous work in American state politics shows that an accurate measure of legislative decision-making attributes can be a useful tool for empirical research. Using data from a new survey of state legislators, conducted in 1981, the present analysis includes both an improved survey item and a sophisticated scaling procedure.     

Racial differences in speeding patterns: Exploring the differential offending hypothesis

Purpose

Disproportionate minority contact during traffic stops has been a consistent source of commentary and study in recent years. While various theoretical perspectives have been employed to explain these empirical findings, the differential offending hypotheses has been largely ignored as a viable alternative explanation. Building on existing empirical evidence regarding criminal offending patterns and driving patterns, we examined the veracity of this explanation using data from an observational study of urban driving behavior.

Methods

Data were collected using an observational methodology in an urban environment. These data were then used to estimate various regression models and test the differential offending hypothesis.

Results

Analytic models indicated that Black drivers speed more frequently and engage in more severe speeding compared to White drivers, net of controls.

Conclusions

The findings suggest that citizen risk for specific police behavior is partially attributable to differential behavior prior to the encounter. These results mirror the findings of previous research in other geographic locations using different methodologies; thus, contributing to the conclusion that understanding officer decision-making and behavior requires consideration of other factors beyond a citizen's race.     

Burden of Womanhood: Tamil Women’s Perceptions of Coping with Intimate Partner Violence

Helping women victimized by intimate partner violence (IPV) is a challenge, particularly when the women belong to diverse ethnic groups. The objective of our study was to collect information on perceptions of coping with IPV from the perspective of a specific immigrant group of women. Sixty-three women from the Tamil community in Toronto representing different generations and experiences of IPV were interviewed in focus group settings about their views of coping with IPV. Study findings suggested that their views were deeply embedded in their sociocultural context and influenced by the gender-role expectations from the community. The women showed a marked preference for “passive” modes of coping rather than “active.” Study findings have implications for the development of alternative approaches to helping ethnically diverse women deal with IPV.     

No Judge,No Job! Court errors and the contingent labor contract

Judges are prone to error and misapprehension when they are verifying the facts of a legal case. We analyze the significance and scope of accurate court decisions and judicial error for labor contracting and identify the implications of these concepts on behavioral incentives and market outcomes. We find that imperfect judicial state verification and the diverging beliefs on a court ruling reduce the efficiency of contingent labor contracts and make them less effective in stipulating sufficient incentives for compliance. If increasing court accuracy in general is not feasible, the courts (and the legislator) should primarily mitigate type I errors. The common reversal of the burden of proof to the employer in labor laws reflects these insights. The model also indicates that the ability of judges to verify facts is a prerequisite for efficient law-making and contributes significantly to the economic role of courts.     

Loess:: a nonparametric, graphical tool for depicting relationships between variables

Loess is a powerful but simple strategy for fitting smooth curves to empirical data. The term “loess” is an acronym for “local regression” and the entire procedure is a fairly direct generalization of traditional least-squares methods for data analysis. Loess is nonparametric in the sense that the fitting technique does not require an a priori specification of the relationship between the dependent and independent variables. Although it is used most frequently as a scatterplot smoother, loess can be generalized very easily to multivariate data; there are also inferential procedures for confidence intervals and other statistical tests. For all of these reasons, loess is a useful tool for data exploration and analysis in the social sciences. And, loess should be particularly helpful in the field of elections and voting behavior because theories often lead to expectations of nonlinear empirical relationships even though prior substantive considerations provide very little guidance about precise functional forms.