Costs of Domestic Violence: A Life Satisfaction Approach

This paper discusses and estimates the costs of domestic violence using a life satisfaction approach. It draws on a British cross-sectional data set that includes individual self-reported life satisfaction, household income and experienced domestic violence. The paper estimates the costs of domestic violence as the compensating variation of domestic violence resulting from estimating a life satisfaction regression equation. Some attempts to deal with the problem of self-selection into abusive relationships and to account for the endogeneity of household income are discussed and implemented. The results suggest that domestic violence is costed very highly by its victims, with estimates ranging from £27,000 to over £70,000. Hence this paper contributes to the literature on valuing non-marketable goods and discusses the usefulness of a life satisfaction approach when estimating the costs of domestic violence. It claims that, despite its shortcomings, a life satisfaction approach allows for a valuation of domestic violence and answers questions often not answered by other valuation methods

Estimating linear birth cohort effects: revisiting the age-happiness profile

This paper provides a simple way of accounting for linear birth cohort effects, together with linear age and calendar time effects. It relies on the discreteness of the data and on the fact that not all individuals are born/interviewed in the same day. This creates an exogenous source of age variation within the same cohort that breaks the linear dependence between the three variables. This method is applied to a happiness equation and shows that, once a linear birth cohort term is included in the regression equation, together with linear age and calendar time terms, the robustly found U-shape profile of happiness in age disappears

Gender analysis of the changes in indirect taxes introduced by the coalition government, 2010-2011

On behalf of the WBG, Jerome De Henau and Cristina Santos have produced an examination of the UK government's main changes in indirect taxes from a gender perspective. This considers changes in excise duties on alcohol, tobacco, fuel and in VAT, and analyses the combined effect of these changes, together with changes in insurance premium tax, air passenger duty and gambling duty

Skewness in Financial Returns: Evidence from the Portuguese Stock Market (in English)

This paper addresses the issue of symmetry in financial returns. The return distributions of the major stocks traded on the Portuguese market and included in the PSI-20 Index are examined for periods from four to nine years. The results show that the symmetry of the returns is rejected against several alternative distributions. Statistically significant differences between returns below and above the mean are detected, which provides additional evidence of skewness in the return distributions. In addition, as observed in other studies, it is interesting to note that such results are similar to other low-capitalization and low-volume markets, which also exhibit asymmetric return distributions.stock markets, skewness, financial returns

Education Workforce Initiative: Initial Research

The purpose of this initial research is to offer evidenced possibilities in the key areas of education workforce roles, recruitment, training, deployment and leadership, along with suggested areas for further research to inform innovation in the design and strengthening of the public sector education workforce. The examples described were identified through the process outlined in the methodology section of this report, whilst we recognise that separation of examples from their context is problematic – effective innovations are highly sensitive to context and uncritical transfer of initiatives is rarely successful. The research aims to support the Education Workforce Initiative (EWI) in moving forward with engaging education leaders and other key actors in radical thinking around the design and strengthening of the education workforce to meet the demands of the 21st century. EWI policy recommendations will be drawn from a number of country level workforce reform activities and research activity associated with the production of an Education Workforce Report (EWR). This research has informed the key questions, approach and structure of the EWR as outlined in the Education Workforce Report Proposal. Issues pertaining to teaching and learning in primary and secondary education are at the centre of the research reported here; the focus is on moving towards schools as safe places where all children/ young people are able to engage in meaningful activity. The majority of the evidence shared here relates to teachers and school leaders; evidence on learning support staff, district officials and the wider education workforce is scant. Many of the issues examined are also pertinent to the early childhood care and education sector but these are being examined in depth by the Early Childhood Workforce Initiative. Resourcing for the Education Workforce was out of scope of this initial research but the EC recognises, as outlined in the Learning Generation Report, that provision of additional finance is a critical factor in achieving a sustainable, strong and well-motivated education workforce, particularly but not exclusively, in low and middle income countries. The next stage of EWI work will consider the relative costs of current initiatives and modelling of the cost implications of proposed reforms. EWI aims to complement the work on teacher policy design and teacher career frameworks (including salary structures) being undertaken by other bodies and institutions such as Education International, the International Task Force on Teachers for 2030 and the Teachers’ Alliance, most particularly by bringing a focus on school and district leadership, the role of Education Support Professionals (ESPs) and inter-agency working

Temporal coordination of simulated timed trajectories for two vision-guided vehicles

We present an attractor based dynamics that autonomously generates temporally discrete movements and temporally coordinated movements for two vehicles, stably adapted to changing online sensory information. Movement termination is entirely sensor driven. We build on a previously proposed solution in which timed trajectories and sequences of movements were generated as attractor solutions of dynamic systems. We present a novel system composed of two coupled dynamical architectures that temporally coordinate the solutions of these dynamical systems. The coupled dynamics enable synchronization of the different components providing an independence relatively to the specification of their individual parameters. We apply this architecture to generate temporally coordinated trajectories for two vision-guided mobile robots in a simulated environment, whose goal is to reach a target in an approximately constant time while navigating within a non-structured environment. The results illustrate the robustness of the proposed decisionmaking mechanism and show that the two vehicles are temporal coordinated: they terminate their movements approximately simultaneously

Generating timed trajectories for an autonomous vehicle: a non-linear dynamical systems approach

The timing of movements and of action sequences is important when particular events must be achieved in timevarying environments, avoiding moving obstacles or coordinating multiple robots. However, timing is dificult when it must be compatible with continuous on-line coupling to lowlevel and often noisy sensory information which is used to initiate and steer action. We extended the Dynamic Approach to Behavior Generation to account for timing constraints. We proposed a solution that uses a dynamical system architecture to autonomously generate timed trajectories and sequences of movements as attractor solutions of dynamic systems. The model consists on a two layer architecture, in which a competitive "neural" dynamics layer controls the qualitative dynamics of a second, "timing" layer. The second layer generates both stable oscillations and stationary states, such that periodic attractors generate timed movement. The frst layer controls the switching between the limit cycle and the fxed points, allowing for discrete movements and movement sequences. This model was integrated with another dynamical system without timing constraints. The complete dynamical architecture was demonstrated on a visionguided mobile robot in real time, whose goal is to reach a target in approximately constant time within a non-structured environment. The obtained results illustrated the stability and flexibility properties of the timing architecture as well as the robustness of the proposed decision-making mechanism.Fundação para a Ciência e a Tecnologia (FCT

Searching for clusters in tourism. A quantitative methodological proposal

The tourism industry is one of Europe’s leading employers, and for many regions highly dependent on tourists’ spending, innovation is the difference between growth and stagnation. Thus, at a regional level, tourism may function as a driving force of socioeconomic development and thus contribute to the demise of regional disparities. Such lever effect is usually associated to a geographical concentration abusively denominated of clusters. Most of the studies within the tourism industry identify clusters resorting to simplistic analyses of geographic location measures or experts’ opinions. These latter tend to neglect the essence of the cluster concept, namely the inter-linkages among regional actors. In the present paper, we propose a methodology to rigorously identify tourism clusters, stressing the importance of networks and cooperation between agents.Clusters; Tourism; Methodology

Bridging Science to Economy: The Role of Science and Technologic Parks in Innovation Strategies in “Follower” Regions

The concept of Regional Innovation System (RIS) builds upon an integrated perspective of innovation, acknowledging the contribution of knowledge production subsystem, regulatory context and enterprises to a region’s innovative performance. Science and Technology parks can act as a platform to the production of knowledge and its transfer to the economy in the form of spin-offs or simple knowledge spillovers, enhanced by the co-location of R&D university centers and high technology enterprises on site. Although reflecting mainly a science push perspective, they may constitute central nodes in an infrastructural system of competitiveness that articulates other entrepreneurial location sites and bridges Universities to the economy in a more efficient and effective way, being crucial to increasing technology transfer and interchange speed, promoting the technological upgrading of the regional economy. In this paper we discuss the importance of Science and Technology Parks in the building up of a Regional Innovation System, promoting the technological intensification of the economy, a more effective knowledge transfer and sharing and the construction of competitive advantages, with particular importance in follower regions facing structural deficiencies. We oppose to the predominant closed paradigm, which understands science parks’ role in a narrow and “enclavist”, arguing in favor of an open and “integrative” paradigm where the interconnection to other infrastructures and agents boosts the park’s performance and upgrades the regional economies competitiveness infra-structures and innovation capability. We further stress the importance of science parks in signaling capabilities and hence attracting R&D external initiatives, namely, R&D FDI.Science Parks, New technology-based firms, Innovation, Regional Policy

Dimensions of Well-Being: Earnings, Happiness and Domestic Violence

This thesis looks at three important aspects of the well-being of individuals. The first chapter looks at earnings and tries to estimate earnings over the life course accounting for selection. It does so by being silent a priori about the relative productivity of those who stay out of work and instead lets the data speak. Data suggest that nonworkers are not always worse than workers, and it also suggests cohort effects are also important when lifecycle profiles do not follow the same people over the whole age range. This chapter also provides an economic model which partly explains how higher productivity individuals may leave the market earlier than low productivity ones. The second chapter looks at another dimension of well-being over the life course. It estimates age-happiness profiles and it focusses more specifically on the identification of linear age effects, in a life satisfaction equation which also includes linear cohort and period effects. As in the first chapter, this chapter also accounts for selective attrition. It finds that cohort effects and selection are important and an adequate account of them changes the age effect on happiness quite substantially. The third chapter looks at domestic violence and tries to find a measure of the cost it has for victims. This is an under-researched area in Economics due to the challenges it presents to the discipline: it questions some of the assumptions often made in the literature about cooperation and efficiency in households; it cannot be easily (if at all) inferred from market behaviour; and data are quite sensitive to gather. We have used a data set designed in the UK, which culminates happiness and income data, and find that costs of violence are often larger than what most households would be able to compensate victims for