Is There a Link Between Poverty and Food Security?

The study examines cointegration and causal relationship between FDI, terrorism and economic growth in Pakistan using quarterly frequencies for the period 1988–2010. For empirical analysis data is divided into two sub-periods i.e. pre 9/11 (1988–2001) and post 9/11 (2002–2010) periods. The results show that long run cointegration holds between FDI, terrorism and economic growth. Granger causality results indicate that there is bidirectional short and long run causality between economic growth and FDI for both sub-samples. These findings are supported by variance decomposition and impulse response analysis. The findings suggest applicability of modernization theory to explain FDI and economic growth relationship. The results also reveal that terrorism has a deteriorating impact on FDI.     

Adapting Trauma-Focused Cognitive Behavioral Therapy to Treat Complex Trauma in Police Officers

Clinical Social Work Journal - Police officers are at risk of being exposed to multiple traumas throughout their careers. Compared to the general population, police officers are also at elevated...     

Online measures of looking and learning in infancy

Infants in laboratory settings look longer at events that violate their expectations, learn better about objects that behave unexpectedly, and match utterances to the objects that likely elicited them. The paradigms revealing these behaviors have become cornerstones of research on preverbal cognition. However, little is known about whether these canonical behaviors are observed outside laboratory settings. Here, we describe a series of online protocols that replicate classic laboratory findings, detailing our methods throughout. In Experiment 1a, 15-month-old infants (N = 24) looked longer at an online support event culminating in an Unexpected outcome (i.e., appearing to defy gravity) than an Expected outcome. Infants did not, however, show the same success with an online solidity event. In Experiment 1b, 15-month-old infants (N = 24) showed surprise-induced learning following online events—they were better able to learn a novel object's label when the object had behaved unexpectedly compared to when it behaved expectedly. Finally, in Experiment 2, 16-month-old infants (N = 20) who heard a valenced utterance (“Yum!”) showed preferential looking to the object most likely to have generated that utterance. Together, these results suggest that, with some adjustments, online testing is a feasible and promising approach for infant cognition research.     

Siblings as Confidants: Emotional Understanding, Relationship Warmth, and Sibling Self-Disclosure

Associations among (a) self-disclosures between early adolescent siblings, (b) emotional understanding, and (c) relationship warmth were investigated. Grade 5–6 children (M age = 11.5 years) were interviewed concerning the incidence of disclosures to closest-in-age siblings (20 = older, 20 = younger), feelings regarding disclosing (or not), and sibling relationship quality. Warmth was measured with the Sibling Relationship Questionnaire (Furman & Buhrmester, 1985) and emotional understanding was assessed with the Hypothetical Relationships Picture Task (adapted from Schneider, 1989, & Aquan-Assee, 1992). Hierarchical multiple regressions indicated self-disclosure was positively associated with feeling good about sharing and negatively associated with reports of not trusting or not receiving emotional support from their sibling. Sibling relationship warmth was a key characteristic associated with both emotional understanding and self-disclosure; female target children demonstrated greater emotional understanding. Warmth, but not emotional understanding, was associated with self-disclosure. Findings are discussed in light of the importance of links between affective relationships and children's social-emotional understanding.     

Cultural Influences on Stigmatization of Problem Gambling: East Asian and Caucasian Canadians

Cultural influences on problem gambling stigma were examined using a between subject vignette study design. Students of East Asian (n = 64) and Caucasian (n = 50) ancestry recruited from a Canadian University rated a vignette describing either an East Asian problem gambler or a Caucasian problem gambler on a measure of attitudinal social distance. In accordance with the hypothesis, a factorial ANOVA revealed that East Asian Canadians stigmatize problem gambling more than Caucasian Canadians. Moreover, East Asian participants stigmatized the East Asian individual described in the vignette more than they did the Caucasian individual. Individuals with gambling problems were generally not perceived as being dangerous. However, participants who perceived problem gambling as a dangerous condition wanted more social distance than those who did not perceive individuals with a gambling problem as dangerous.     

An investigation of Bayesian inference approach to model validation with non-normal data

Quantitative model validation is playing an increasingly important role in performance and reliability assessment of a complex system whenever computer modelling and simulation are involved. The foci of this paper are to pursue a Bayesian probabilistic approach to quantitative model validation with non-normality data, considering data uncertainty and to investigate the impact of normality assumption on validation accuracy. The Box–Cox transformation method is employed to convert the non-normality data, with the purpose of facilitating the overall validation assessment of computational models with higher accuracy. Explicit expressions for the interval hypothesis testing-based Bayes factor are derived for the transformed data in the context of univariate and multivariate cases. Bayesian confidence measure is presented based on the Bayes factor metric. A generalized procedure is proposed to implement the proposed probabilistic methodology for model validation of complicated systems. Classic hypothesis testing method is employed to conduct a comparison study. The impact of data normality assumption and decision threshold variation on model assessment accuracy is investigated by using both classical and Bayesian approaches. The proposed methodology and procedure are demonstrated with a univariate stochastic damage accumulation model, a multivariate heat conduction problem and a multivariate dynamic system.     

Caste,purity, and female dress in IT India: Embodied norm violation as reflexive ethnographic practice

This article proposes the methodology of embodied norm violation for overcoming the dichotomy between cognitive reflexivity and embodied ethnographic practice. The methodology is derived from the author's own embodied experiences as a female Indo-German ethnographer in the field of IT India. For exemplifying the methodology and its potential, this article focusses on two field-related phenomena, namely adhering to a vegetarian diet and dressing the female body. It uses them to gather insights on embodied purity and caste in IT India and discusses implications with regard to the political body (Foucault), the social body (Bourdieu), and the individual body (Merleau-Ponty). The theoretical contribution lies in suggesting embodied norm violation as a reflexive research methodology which delivers organizational insights beyond text, discourse, and cognition. On the empirical level, embodied norm violation enabled the researcher to uncover the pre-reflexive and gendered dimension of IT India as a neocolonial, modernist, and male project.     

THE MARRIED WIDOW: MARRIAGE PENALTIES MATTER!

Marriage penalties are a controversial feature of many government policies. Empirical evidence of their behavioral effects is quite mixed, which is surprising because economic theory predicts that they should have an impact on the headship decision. We investigate the removal of marriage penalties from the surviving spouse pensions of the Canadian public pension system in the 1980s. These reforms provide a simple and transparent source of identification. Our results indicate that marriage penalties can have large and persistent effects on marriage decisions. We also present evidence suggesting that it is individuals with characteristics correlated with greater wealth who respond to the penalties. (JEL: J1, H2)     

Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events

Evacuating residents out of affected areas is an important strategy for mitigating the impact of natural disasters. However, the resulting abrupt increase in the travel demand during evacuation causes severe congestions across the transportation system, which thereby interrupts other commuters' regular activities. In this article, a bilevel mathematical optimization model is formulated to address this issue, and our research objective is to maximize the transportation system resilience and restore its performance through two network reconfiguration schemes: contraflow (also referred to as lane reversal) and crossing elimination at intersections. Mathematical models are developed to represent the two reconfiguration schemes and characterize the interactions between traffic operators and passengers. Specifically, traffic operators act as leaders to determine the optimal system reconfiguration to minimize the total travel time for all the users (both evacuees and regular commuters), while passengers act as followers by freely choosing the path with the minimum travel time, which eventually converges to a user equilibrium state. For each given network reconfiguration, the lower‐level problem is formulated as a traffic assignment problem (TAP) where each user tries to minimize his/her own travel time. To tackle the lower‐level optimization problem, a gradient projection method is leveraged to shift the flow from other nonshortest paths to the shortest path between each origin–destination pair, eventually converging to the user equilibrium traffic assignment. The upper‐level problem is formulated as a constrained discrete optimization problem, and a probabilistic solution discovery algorithm is used to obtain the near‐optimal solution. Two numerical examples are used to demonstrate the effectiveness of the proposed method in restoring the traffic system performance.