Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms

This study examines the effect of R&D tax credits on innovation activities of Canadian manufacturing firms. Over the 1997-1999 period the Federal and Provincial R&D tax credit programs were used by more than one third of all manufacturing firms and by close to two thirds of firms in high-technology sectors. We investigate the average effect of R&D tax credits on a series of innovation indicators such as: number of new products, sales with new products, originality of innovation, etc. using a non-parametric matching approach. Compared to a hypothetical situation in the absence of R&D tax credits, recipients of tax credits show significantly better scores on most but not all performance indicators. We therefore conclude that tax credits lead to additional innovation output.     

TreeCovery: Coordinated dual treemap visualization for exploring the Recovery Act

The American Recovery and Reinvestment Act dedicated $787 billion to stimulate the U.S. economy and mandated the release of the data describing the exact distribution of that money. The dataset is a large and complex one; one of its distinguishing features is its bi-hierarchical structure, arising from the distribution of money through agencies to specific projects and the natural aggregation of awards based on location. To offer a comprehensive overview of the data, a visualization must incorporate both these hierarchies. We present TreeCovery, a tool that accomplishes this through the use of two coordinated treemaps. The tool includes a number of innovative features, including coordinated zooming and filtering and a proportional highlighting technique across the two trees. TreeCovery was designed to facilitate data exploration, and initial user studies suggest that it will be helpful in insight generation. RATB (Recovery Accountability and Transparency Board) has tested TreeCovery and is considering including the concept in their visual analytics.     

Inter-repetition rest training and traditional set configuration produce similar strength gains without cortical adaptations

This study compared the functional and neural effects of two strength training programmes differing in set configuration. Thirteen participants performed 10 sessions, over a period of 5 weeks, of unilateral leg extensions with different set configurations but with identical work-to-rest ratios for each limb: a traditional configuration (4 sets of 8 repetitions, 10RM load, 3-min pause between sets) and an inter-repetition rest configuration (32 repetitions, 10RM load, 17.4 s of rest between each repetition). Mean propulsive velocity of the traditional sessions was lower than for inter-repetition rest sessions (0.48 ± 0.06 vs. 0.54 ± 0.06 m · s^?1; P < 0.001), while perceived exertion was higher (8.3 ± 0.9 and 6.56 ± 1.6 for traditional training and IRT; P = 0.002). One repetition maximum (RM), work with 10RM load, maximum mean propulsive power, maximum voluntary contraction and time to failure with 50% of maximum isometric force improved similarly in both legs (time effect, P < 0.001; effect size range, 0.451–1.190). Time and set configuration did not show significant main effects or interactions for cortical adaptations (motor-evoked potentials, short-interval intracortical inhibition, intracortical facilitation). There were no significant correlations between changes in cortical and peripheral neural adaptations and strength improvement. In conclusion, inter-repetition rest configuration was as effective as traditional training in improving muscle performance.     

Rolling: A new technique for the practical teaching in computer science university degree

In this paper we describe a new methodology for practical teaching in the Computer Science University Degree. The methodology is based on the Rolling technique. This technique consists in assign, in a rotary process, tasks, activities and responsibilities to students along an established calendar with the aim of developing a software product. Practical teaching is supported by a student-teacher contract that describes the goal, rules, plan with stages and activities, responsibilities and even the assessment method. Students are organized in groups and teams, emulating a company organization. They develop all the activities of the software engineering process in order to obtain a commercial product (the goal). In this process, students take different responsibilities over the software verification and validation, activities and tasks, and over groups and teams leadership. Along the teaching process, comprehensive information about the working team, time invested, deliverables in each stage, and work/students assessment is gathered. The methodology has been tested for 4 years at the University of Córdoba and the results, described in this paper, have shown an improvement in the students learning as well as in the acquisition of attitudes and skills mandatory for their professional development.     

The spatial geography of teacher labor markets: Evidence from a developing country

An unequal distribution of teacher quality is a problem underlying the unequal distribution of educational outcomes in developing countries. However, we know little about how the labor market produces such a distribution. Using data from two regions in Peru, we investigate whether there is a national teacher market or smaller regional markets. We estimate discrete-choice multinomial models to identify variables (including teacher characteristics, institutional features and geographical factors) associated with the location of teachers in the first jobs of their careers. Results indicate that teacher markets are regional in scope. Being born in a certain province (sub-area of a region) substantially increases the probability of having a first teaching position in that same province. We also find evidence that the geographic mobility of teachers is quite limited. Results suggest that policies to strengthen teacher educational systems and reduce inequities should focus on the regional level.     

Reasons which influence on the students’ decision to take a university course: differences by gender and degree

After compulsory secondary education; many teenagers face the process of choosing a university degree. This process involves uncertainties referred to their personal abilities, interests, social expectations and professional future. The present work is aimed at determining whether the reasons behind the selection of a particular university degree differ depending on the chosen degree. Another objective is determining whether these reasons differ significantly according to gender. The sample comprises 983 students belonging to the area of social and legal sciences at the University of Seville. The obtained results reveal the existence of four main reasons behind the selection of university degrees for which significant gender-related differences were observed: easy degree, job opportunities, high wages and provision of social services. Besides, these seven reasons are observed to differ widely in six of the considered degrees.     

Dynamics of Acculturation, Enculturation, and Ethnic Identity: Influence of Psychocultural Constructs on Conscientiousness and Expectations of Higher Education Among Latinos

This study investigated the influence of psychocultural variables (e.g., acculturation, enculturation, ethnic identity) and personality characteristics in relation to educational expectations among 345 Latino middle school students in the U.S. Results from a path model indicate that 24.4?% of the variance of educational expectations was accounted for by all predictor variables included in the model. Age, acculturation, and conscientiousness had statistically significant direct effects on educational expectations. Findings also show that elements of ethnic identity and conscientiousness mediated the association from acculturation and enculturation to educational expectations. Implications of the findings for counselors are addressed.