Prevalence and Risk Factors Among Minors for Online Sexual Solicitations and Interactions With Adults

The research on online child sexual victimization has mainly focused on the sexual solicitation of minors (i.e., sexual requests by an adult), with scarce information available on sexual interactions (e.g., cybersex or meeting in person) in which a minor is exploited by an adult. In the present study, we analyzed the prevalence and risk factors associated with both sexual solicitations and interactions of minors with adults. The sample included 2,731 minors between 12 and 15 years old (50.6% female). The minors completed several self-report questionnaires about sexual solicitations and interactions with adults, including possible risk factors (e.g., sociodemographic variables, Internet use, and psychological adjustment). Of the participants, 15.6% of girls and 9.3% of boys reported sexual solicitations, and 8.2% of girls and 7.4% of boys reported sexualized interactions with adults. Among the variables studied, several appeared related to both sexual solicitations and interactions: older age, having been involved in sexting, being a victim of cyberbullying, having unknown people in friends list, using chat, time spent online on a weekday, and depression symptoms. Gender (being female), using video chat, and instant messaging by computer were significant variables for sexual solicitation but not for sexual interaction; participation in online games was significant only for sexual interactions. Finally, minors reporting sexual interactions presented a higher risk profile than those reporting only sexual solicitations. These findings highlight the relevance of distinguishing between sexual solicitations and sexual interactions and suggest important avenues for prevention programs.     

OPTIMAL EMPLOYEE OWNERSHIP CONTRACTS UNDER AMBIGUITY AVERSION

The aim of this paper is to compute and describe the conditions of an optimal employee ownership contract between an employer and an ambiguity‐averse employee. We then introduce ambiguity aversion in the baseline model of Aubert et al. (2014) using the multiple prior preferences of Gilboa and Schmeidler (1989) and its extension proposed by Maccheroni et al. (2006). This model offers solutions that reconcile labor and financial economics and behavioral economics research findings on employee ownership. The paper focuses on the most common situation where employee ownership has a positive impact on corporate performance, but can also be used as an entrenchment mechanism. We determine the optimal company stock contribution, which corresponds to a perfect subgame Nash equilibrium in the ambiguity framework. Using the framework of Gilboa and Schmeidler (1989), we show that the optimal ownership contract is increasing with respect to the lower bound of the return expectation in the case of a high level of effort, and decreasing with respect to the upper bound of the return expectation in the case of a low level of effort. In the framework of Maccheroni et al. (2006), we prove that if aversion to ambiguity is sufficiently high, then we find the same behavior as in the case of no ambiguity. (JEL G11, G32, G34, J33)     

Comprehensive maternity support and shared care in Switzerland: Comparison of levels of satisfaction

Background

According to the woman-centred care model, continuous care by a midwife has a positive impact on satisfaction. Comprehensive support is a model of team midwifery care implemented in the large Geneva University Hospitals in Switzerland, which has organised shared care according to the biomedical model of practice. This model of care insures a follow up by a specific group of midwives, during perinatal period.

Quality splitting in waste incineration due to non-convex production possibilities

Using a real case study of waste incineration, we show a new form of non-convexity in the transformation process of the inputs into the outputs. Its consequence is quality splitting, i.e. the separate use of different input qualities, yielding a better result than a homogeneous mix. For waste incineration plants (WIP), this leads to surprising practical implications for strategies of waste collection and supply, as well as for the control of a WIP. The insights are based on the evaluation of a basic model of waste incineration developed for the case study. Thus, the paper also contributes to production research by modelling waste incineration as a central process for the “reduction” of waste from manufacturing and consumption.     

Internal audit function quality and financial reporting: results of a survey on German listed companies

Most prior studies on internal audit function (IAF) quality and financial reporting have focused on the US setting and have found a positive association between IAF quality proxies and both financial reporting quality and audit efficiency. In this study, we apply the German setting that is characterized by a two-tier board system of corporate governance and different prerequisites for the serving-two-masters problem. This might weaken the IAF’s ability to monitor financial reporting-related processes. To analyze this, we use survey data to measure IAF quality in the German setting and run multiple regressions to examine the association of several IAF quality characteristics and a self-developed IAF quality score with financial reporting quality and audit efficiency. The results show that also in a two-tier system, a high-quality IAF is able to contribute to both financial reporting quality and audit efficiency. Our findings support the notion that the IAF serves as an essential element of effective corporate governance and plays an important role in financial reporting. Moreover, as a practical implication of interest to regulators and managers, we identify that the external certification of the IAF and internal audit-related certifications of IAF employees may contribute to higher financial reporting quality and lower audit fees.     

Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent‐Based Model Approach

Recent studies showed that climate change and socioeconomic trends are expected to increase flood risks in many regions. However, in these studies, human behavior is commonly assumed to be constant, which neglects interaction and feedback loops between human and environmental systems. This neglect of human adaptation leads to a misrepresentation of flood risk. This article presents an agent‐based model that incorporates human decision making in flood risk analysis. In particular, household investments in loss‐reducing measures are examined under three economic decision models: (1) expected utility theory, which is the traditional economic model of rational agents; (2) prospect theory, which takes account of bounded rationality; and (3) a prospect theory model, which accounts for changing risk perceptions and social interactions through a process of Bayesian updating. We show that neglecting human behavior in flood risk assessment studies can result in a considerable misestimation of future flood risk, which is in our case study an overestimation of a factor two. Furthermore, we show how behavior models can support flood risk analysis under different behavioral assumptions, illustrating the need to include the dynamic adaptive human behavior of, for instance, households, insurers, and governments. The method presented here provides a solid basis for exploring human behavior and the resulting flood risk with respect to low‐probability/high‐impact risks.     

Tobacco use in the treatment trenches

As reported here (see “Dirty Words: Smoker, Vaper, Harm Reductionist?” ADAW, Oct. 14, 2019; https://onlinelibrary.wiley.com/doi/10.1002/adaw.32509 ), recently I have focused much of my time on raising alarms about the very high rates of smoking among addiction treatment and recovery populations. In addition to archival research, I have conducted a series of key informant interviews to better understand the roots of our field's ongoing reluctance to address this issue. These interviews with national leaders in the alcohol and drug field confirmed that when presented with statistics about the very high rates of cigarette smoking among treatment and recovery populations, there is widespread consternation about the resulting tobacco‐related mortality and morbidity. Paradoxically, however, this concern has not translated into strong remedial action.     

Hypothesis testing for the dispersion parameter of the hyper-Poisson regression model

The Poisson distribution is widely used to deal with count data, however, it is unable to capture the dispersion problems. The hyper-Poisson distribution is a particular case of the extended Conway–Maxwell distribution which takes into account the dispersion phenomena of the count data. The main motivation to consider this model is the possibility to link the mean to the regressor variables in very natural way to solve testing problems. So, this paper will be focalized in the gradient statistics to detect dispersions and to compare with the classical likelihood ratio statistic. Two illustrative applications are considered.     

Nicotine addiction and substance use disorder treatment: The Philadelphia story

The Philadelphia Department of Behavioral Health and its leadership have a well‐deserved reputation for pioneering recovery‐oriented systems of care. Effective Jan. 1, 2019, the agency initiated an aggressive policy to address the problem of nicotine addiction among those receiving substance use disorder (SUD) services in contracted facilities. The policy covers nine detox facilities, 32 short‐term rehabilitation programs, 31 long‐term rehabilitation programs and eight halfway houses.