The Rules of (Dis)engagement: Black Youth and Their Strategies for Navigating Police Contact

Prior work on youth–police relations examines young people's general perceptions of the police, their differential treatment by police officers, and officers' discretion in dealing with youth. Yet researchers have largely neglected the question of how young people attempt to shape these encounters. I address this critical gap, while also incorporating the experiences of “on track” youth and young women—two groups that are not exempt from police contact but traditionally ignored in the youth–police literature. Drawing on semistructured group and individual interviews with 19 black young people in New York City, I investigate the strategies they employ or subscribe to in navigating police contact. Three types of strategies emerged from my analysis: avoidance, management, and symbolic resistance. Avoidance strategies are marked by young people's attempts to preemptively steer clear of officers on the street. Management strategies are employed by young people during police encounters to limit risk or harm, while symbolic resistance is a subtle tactic used by some youth to preserve their dignity in these interactions. This study also considers the gender differences in respondents' approaches and offers new insights into how they assess their police interactions in an era of highly publicized incidents of police brutality.     

Testing the Effectiveness of Fundraiser Job Titles in Charitable Bequest and Complex Gift Planning

Traditional fundraiser job titles are often institution centered, focusing on the benefits of fundraising as “institutional advancement” or “institutional development.” Such institution‐centered job titles may not be as effective with donors given the modern shift toward donor‐centered philanthropy. Alternative job titles can be gift centered (for example, “major gifts”) or donor centered (for example, “donor advising”). A survey of 3,188 respondents tested sixty‐three job titles in four charitable scenarios: a charitable bequest gift, a gift of stock, a gift of real estate, and a charitable gift annuity. Measured by which person donors would be more likely to contact to discuss each donation, the worst‐performing titles were the traditional institution‐focused fundraiser job titles, in particular those using “advancement,” “institutional advancement,” or “development.” This was also true when examining only respondents who had made large gifts ($500+) to a charity. Traditional institution‐focused job titles are both the most commonly used and the worst performing. Nonprofit managers may do well to consider the donor's perspective when selecting job titles for fundraisers rather than following traditional industry practices.     

Estimation for seasonal fractional ARIMA with stable innovations via the empirical characteristic function method

Seasonal fractional ARIMA (ARFISMA) model with infinite variance innovations is used in the analysis of seasonal long-memory time series with large fluctuations (heavy-tailed distributions). Two methods, which are the empirical characteristic function (ECF) procedure developed by Knight and Yu [The empirical characteristic function in time series estimation. Econometric Theory. 2002;18:691–721] and the Two-Step method (TSM) are proposed to estimate the parameters of stable ARFISMA model. The ECF method estimates simultaneously all the parameters, while the TSM considers in the first step the Markov Chains Monte Carlo–Whittle approach introduced by Ndongo et al. [Estimation of long-memory parameters for seasonal fractional ARIMA with stable innovations. Stat Methodol. 2010;7:141–151], combined with the maximum likelihood estimation method developed by Alvarez and Olivares [Méthodes d'estimation pour des lois stables avec des applications en finance. Journal de la Société Française de Statistique. 2005;1(4):23–54] in the second step. Monte Carlo simulations are also used to evaluate the finite sample performance of these estimation techniques.     

Your lying,incompetent and selfish member of Congress: Cynical appeals in U.S. Senate advertising

Scholars still do not fully understand what activates cynicism in citizens. Although many expect that negative campaigning contributes to this, no consistent evidence has been found. This research introduces a new measure of appeals to cynicism that expands the commonly used positive–negative taxonomy of tone in advertising. Through a content analyses of more than 600 political advertisements aired during U.S. Senate elections, we identify the extent to which candidates use cynical appeals and the conditions under which these are used. We find that appeals to cynicism are common, are distinct from negative appeals, and that most often, ad sponsors target opponents with cynical appeals, describing them as selfish, dishonest and incompetent. Cynicism appears to be a central part of American campaign rhetoric, used by all sorts of candidates, regardless of party, in many different situations. The prevalence of appeals to cynicism may help explain rising cynicism among the public.     

How choice proliferation affects revealed preferences

Theory and Decision - Whereas the literature on choice overload has shown that people tend to defer their choice or experience less satisfaction under choice proliferation, this paper aims to test...     

Information Seeking about Global Climate Change among Adolescents: The Role of Risk Perceptions, Efficacy Beliefs and Parental Influences

Global climate change is likely to have significant impacts on public health. Effective communication is critical to informing public decision making and behavior to mitigate climate change. An effective method of audience segmentation, the risk perception attitude (RPA) framework has been previously tested with other health behaviors and classifies people into 4 groups on the basis of their perceptions of risk and beliefs about personal efficacy. The 4 groups - indifference (low risk, weak efficacy), proactive (low risk, strong efficacy), avoidance (high risk, weak efficacy), and responsive (high risk, strong efficacy) - are hypothesized to differ in their self-protective behaviors and in their motivations to seek information. In this paper, we extend the RPA framework in two ways. First, we use it at the household level to determine whether parental classifications into the 4 groups are associated with their teenage children's classification into the same 4 groups. Second, we predict adolescent information-seeking behaviors on the basis of their and their parents' membership in the 4 RPA groups. Results (N = 523 parent-adolescent pairs) indicated that parental membership in the 4 RPA groups was significantly associated with children's membership in the same 4 groups. Furthermore, the RPA framework was a significant predictor of adolescent information-seeking: those in the responsive and avoidance groups sought more information on climate change than the indifference group. Family communication on global warming was positively associated with adolescents' information-seeking. Implications for interventions are discussed.     

Modeling censored data using modified lambda family

In the present article we propose the modified lambda family (MLF) which is the Freimer, Mudholkar, Kollia, and Lin (FMKL) parametrization of generalized lambda distribution (GLD) as a model for censored data. The expressions for probability weighted moments of MLF are derived and used to estimate the parameters of the distribution. We modified the estimation technique using probability weighted moments. It is shown that the distribution provides reasonable fit to a real censored data.     

An Ecological Model for Quantitative Risk Assessment for Schistosomiasis: The Case of a Patchy Environment in the Coastal Tropical Area of Northeastern Brazil

We developed a stochastic model for quantitative risk assessment for the Schistosoma mansoni (SM) parasite, which causes an endemic disease of public concern. The model provides answers in a useful format for public health decisions, uses data and expert opinion, and can be applied to any landscape where the snail Biomphalaria glabrata is the main intermediate host (South and Central America, the Caribbean, and Africa). It incorporates several realistic and case‐specific features: stage‐structured parasite populations, periodic praziquantel (PZQ) drug treatment for humans, density dependence, extreme events (prolonged rainfall), site‐specific sanitation quality, environmental stochasticity, monthly rainfall variation, uncertainty in parameters, and spatial dynamics. We parameterize the model through a real‐world application in the district of Porto de Galinhas (PG), one of the main touristic destinations in Brazil, where previous studies identified four parasite populations within the metapopulation. The results provide a good approximation of the dynamics of the system and are in agreement with our field observations, i.e., the lack of basic infrastructure (sanitation level and health programs) makes PG a suitable habitat for the persistence and growth of a parasite metapopulation. We quantify the risk of SM metapopulation explosion and quasi‐extinction and the time to metapopulation explosion and quasi‐extinction. We evaluate the sensitivity of the results under varying scenarios of future periodic PZQ treatment (based on the Brazilian Ministry of Health's plan) and sanitation quality. We conclude that the plan might be useful to slow SM metapopulation growth but not to control it. Additional investments in better sanitation are necessary.