Will workfare work? Job availability for welfare recipients in rural and urban America

Ongoing concern over welfare dependency has stimulated the US Government to enact welfare reform legislation that features work requirements. Under the Personal Responsibility and Work Opportunity Reconciliation Act of 1996, millions of able-bodied welfare recipients will now be expected to find work within two years. We analyze data from the March 1994 Current Population Survey to address the neglected question of whether a sufficient number of jobs will be available for those looking for work. Using two methods to estimate job availability, and a variety of assumptions about which welfare recipients will be required to work, we estimate that as few as 18 and as many as 54 welfare recipients and other unemployed individuals would be competing for each available job. Separate analyses by residence provided equivocal evidence on whether metropolitan or nonmetropolitan welfare recipients will have the more difficult time finding gainful employment.     

Recovering Information from Incremental Responses

Some yields analysed and reported in the literature have been adjusted by subtracting a control. It is found that full information can be recovered for estimable parameters and the error variance using these incremental responses, in comparison with unadjusted data. These findings are of practical importance, and they supplement materials usually found in a graduate course in linear inference. The issues are illustrated using a case study from the literature.     

The case of post-acquisition integration design decisions

In a multi-method study that examined post-acquisition integration design decisions, managers were found to have poor insight into the values underlying their decision making. This lack of insight was not found to be moderated by increased levels of experience with acquisition decision making, and its effects were reflected in post-acquisition performance.     

Evaluation of Multicriteria Decision Analysis Algorithms in Food Safety: A Case Study on Emerging Zoonoses Prioritization

Decision making in food safety is a complex process that involves several criteria of different nature like the expected reduction in the number of illnesses, the potential economic or health-related cost, or even the environmental impact of a given policy or intervention. Several multicriteria decision analysis (MCDA) algorithms are currently used, mostly individually, in food safety to rank different options in a multifactorial environment. However, the selection of the MCDA algorithm is a decision problem on its own because different methods calculate different rankings. The aim of this study was to compare the impact of different uncertainty sources on the rankings of MCDA problems in the context of food safety. For that purpose, a previously published data set on emerging zoonoses in the Netherlands was used to compare different MCDA algorithms: MMOORA, TOPSIS, VIKOR, WASPAS, and ELECTRE III. The rankings were calculated with and without considering uncertainty (using fuzzy sets), to assess the importance of this factor. The rankings obtained differed between algorithms, emphasizing that the selection of the MCDA method had a relevant impact in the rankings. Furthermore, considering uncertainty in the ranking had a high influence on the results. Both factors were more relevant than the weights associated with each criterion in this case study. A hierarchical clustering method was suggested to aggregate results obtained by the different algorithms. This complementary step seems to be a promising way to decrease extreme difference among algorithms and could provide a strong added value in the decision-making process.     

Revisiting the flexibility and regularity properties of the asymptotically ideal production model

In this paper we estimate the flexibility properties and regular regions for the first three orders of the seminonparametric Asymptotically Ideal Model (AIM) under four different types of constant returns to scale production technologies. The AIM model's parameters are estimatedfrom a Monte Carlo simulation where the data is generated from a three input, one output, globally regular Constant Differences of Elasticity of Substitution function. The Monte Carlo's input quantity and elasticity of substitution estimates at the unit vector are graphed along with the area of the relative price space where the AIM model is monotonically increasing andquasi-concave.     

NARRATIVE IDENTITIES:

On the U.S.-Mexican border, the label "Mexican' refers simultaneously to both nationality and ethnicity. Playing with the multiple meanings of the word, border actors construct narratives about themselves and Others to deal with a local hegemonic discourse that states that "poverty is Mexican.' Thus, while border identities are constructed within a culturally specific system of classification, people also develop a sense of themselves as subjects by imagining themselves as protagonists in stories. To know border narratives is important because people generally act according to how they understand their place in any number of social relations whose meaning is narratively constructed.     

Medication for Children with Attention-Deficit Hyperactivity Disorder

When making assessments and planning interventions, social workers adopt a biopsychosocial perspective. One important area where biologically based treatments influence psychosocial functioning is the area of psychopharmacology. However, even though many clients take medications, social workers often feel poorly prepared to address a subject that could be very important to their clients; that subject is the meaning of the medication to the client. The meanings that clients ascribe to medication can have a significant impact on medication adherence. Using attention-deficit/hyperactivity disorder (ADHD) to illustrate, I provide an overview of ADHD and common forms of treatment, discuss the possible meanings and acceptability of stimulant treatment for ADHD, provide practice guidelines for helping families reduce ambivalence about medication, present two clinical vignettes, and suggest resources for social workers and families.     

Gender differences in physical activity are partially explained by anxiety sensitivity in post-secondary students

Abstract

Objective: Female post-secondary students typically engage in less physical activity than their male counterparts. Given that women have greater anxiety sensitivity (ie, fear of arousal-based body sensations) and anxiety sensitivity is inversely related to physical activity participation, this study sought to determine if anxiety sensitivity mediates gender differences in self-reported physical activity. Participants and methods: A sample of 802 post-secondary students completed the Anxiety Sensitivity Index-3 and a Lifestyles Questionnaire in September 2017. Results: Women reported significantly less physical activity and significantly greater anxiety sensitivity. Anxiety sensitivity was significantly and inversely related to self-reported physical activity. A significant indirect effect of gender on physical activity via anxiety sensitivity was shown (B?=?5.56, SE?=?2.81, p?<?.05, 95% CI [1.31, 12.78], P_M?=?.0843). Conclusions: Results suggest that anxiety sensitivity partially explains gender differences in physical activity. Anxiety sensitivity reduction interventions might increase physical activity participation and reduce the existing gender gap.