Rent-seeking and competitive preferences

In this experiment, I examine the extent to which competitive social preferences can explain over-bidding in rent-seeking contests. The Human treatment is a standard two-player contest. In the Robot treatment, a single player bids against a computerized player, eliminating potential social preference motives. The results show no difference in bids between treatments at the aggregate level. Further analysis shows evidence of heterogeneous treatment effects between impulsive and reflective subjects. Moreover, impulsive subjects are more likely than reflective subjects to deviate qualitatively from the shape of the theoretical best response function.     

Financing Innovation Development in the Context of Foreign Experience and Domestic Practice

The importance of innovation development is determined by the strategic role that true innovations play in the development of the state and the formation of a healthy, competitive economy. The organization of massive industrial production—which applies advanced technological achievements and science-intensive knowledge to form an infrastructure for innovation—should be a key component of the government’s strategic policy to develop the national economy. In Russia, the infrastructure for innovation is less developed than other industrialized countries. This article considers the consequences of this underdevelopment, and proposes several ways of financing basic and applied research on the basis of foreign precedent and domestic practice.     

简析《德伯家的苔丝》的悲剧性及其成因

哈代在《德伯家的苔丝》中成功地塑造了女主公苔丝的形象,其文中所描写的苔丝出外谋生和一失足千古恨的悲剧,具有巨大的悲剧研究的社会价值。通过从社会和个人性格两个不同的方面分析了苔丝悲剧产生的原因,使读者在理性地欣赏其作品的同时,更深刻地感受到作品所营造的悲剧效果和艺术感染力。     

论夜间搜查——从两则案例谈起

由于我国《刑事诉讼法》对搜查的时间未作规定,导致司法实践中夜间搜查频繁出现。夜间搜查很容易侵犯被搜查人和与其同住的人的隐私权和生活安宁权,给其造成伤害,司法实践中也确实发生了因夜间搜查而把人吓病的案例。因此,我国在再次修改《刑事诉讼法》时应规定禁止夜间搜查。当然,在保护公民隐私权和生活安宁权的同时,也要兼顾打击犯罪的需要,法律可以设置一些禁止夜间搜查的例外。     

Monstrosities and moral publics

Interdisciplinary scholarship on neoliberal urban governmentality has been attentive to the knowledges and techniques of government currently emerging at the interface of local state politics and invested claims of voluntary private actors such as corporate partners and philanthropic agencies. This article draws attention to the workings of the aesthetic as an epistemological grounding for the rationalization of urban rule. Specifically, I explore a Toronto, Canada-based philanthropic agency’s reliance on a mise-en-scene of urban terror to animate its own self-validated knowledges about targeted inner-suburban subjects and spaces. In their circulation and demand for public address, the agency’s graphic public service announcements, launched in 2007, herald what I argue is a moralized set of knowledges about municipal renewal that has its own normative orientations grounded in a neoliberal political rationality, and tangentially, in racialized security imperatives. I detail various dimensions of the social life of a video associated with this public service campaign targeting ‘youth at risk’, considering the ethical, political and economic valences it was expected to convey; its semiotic exchange with other images and representations of disenfranchised spaces, subjects and communities; and the publics it attempted to interpellate. Importantly, given the agency’s current standing as a prominent player in Canadian urban policy arenas, I pay analytical attention to the visual campaign as a site for the production of knowledges about proper urban citizenship and social governance, and as such, a strategic-orienting device for urban policy interventions and directives.     

Bayesian analysis of multivariate stochastic volatility with skew return distribution

Multivariate stochastic volatility models with skew distributions are proposed. Exploiting Cholesky stochastic volatility modeling, univariate stochastic volatility processes with leverage effect and generalized hyperbolic skew t-distributions are embedded to multivariate analysis with time-varying correlations. Bayesian modeling allows this approach to provide parsimonious skew structure and to easily scale up for high-dimensional problem. Analyses of daily stock returns are illustrated. Empirical results show that the time-varying correlations and the sparse skew structure contribute to improved prediction performance and Value-at-Risk forecasts.     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.     

Guerrilla selfhood: imagining young people's entrepreneurial futures

In this paper, we argue that complex forms of selfhood emerge in relation to rapid economic and social changes unfolding in the early stages of the twenty-first century. We draw on literature that explores youth at risk, entrepreneurial selfhood and neoliberalism to argue that young people are developing modes of transition that allow them to acclimatise to economic and social insecurity. It is an insecurity borne of a paradoxical reliance on, and failure of, neoliberal forms of economics and society. In the context of a post-Global Financial Crisis (post-GFC) world, we explore how young people take responsibility for their uncertain futures. Via our critique of how young people are supposed to manage their lives from education to employment, we argue that a form of selfhood emerges as they are challenged by limited education and employment opportunities. We call this selfhood the guerrilla self. We use this term to designate types of identity that require participation through resistance, institutionalisation through the appearance of not being institutionalised, and individualism in the midst of a failure of individualism. In making this case, we draw on stories told by young people in the USA planning for a future in a post-GFC world.     

Urban community as resource: Evaluation of the mentors in Toledo schools program

We report findings from an evaluation of the Mentors in Toledo Schools program (MITS), which pairs adult community volunteers with elementary school students in need of reading support. Begun in 2012, MITS now operates in five elementary schools in Toledo Public Schools. A quasi-experimental study of 379 students (n = 128 mentored, n = 251 comparison) tested the effectiveness of MITS, using changes (fall to spring) in students’ scores on STAR Reading. Multilevel models demonstrate students who participated in MITS made statistically significant, and educationally meaningful, reading gains compared to students who did not participate. Further, an investigation of the importance of dosage revealed that number of mentoring sessions is related to students’ outcomes; students who participated in reading mentoring at least once per week showed the most educationally meaningful improvements. We also report qualitative feedback from adult program participants, including teachers, mentors, and site coordinators, to help contextualize the STAR Reading results. These findings speak to the opportunity for community volunteers to act as low-cost and effective supports for urban elementary school students who are at-risk for reading failure.