Holding Fast: The Persistence and Dominance of Gender Stereotypes

This paper investigates the persistence of gender stereotyping in the forecasting of risk attitudes. Subjects predict the gamble choice of target subjects in one of two treatments. First, based only on visual clues and then based on visual clues plus two responses by the target from a risk-preference survey. Second in reverse order: first, based only on the two responses then on the two responses plus visual clues. In isolation the gender stereotype and survey responses both inform predictions about others’ risk attitudes. In conjunction with one another, however, the stereotype persists and dominates the survey response information.Experiment, Gender, Risk, Stereotype

Leadership Curriculum Evaluation: Final Report DFE- RR639

Evaluation report of the National College for Teaching and Leadership's Leadership Curriculum commissioned by Department for Education (2013-2016

Intent-Aware Contextual Recommendation System

Recommender systems take inputs from user history, use an internal ranking algorithm to generate results and possibly optimize this ranking based on feedback. However, often the recommender system is unaware of the actual intent of the user and simply provides recommendations dynamically without properly understanding the thought process of the user. An intelligent recommender system is not only useful for the user but also for businesses which want to learn the tendencies of their users. Finding out tendencies or intents of a user is a difficult problem to solve. Keeping this in mind, we sought out to create an intelligent system which will keep track of the user's activity on a web-application as well as determine the intent of the user in each session. We devised a way to encode the user's activity through the sessions. Then, we have represented the information seen by the user in a high dimensional format which is reduced to lower dimensions using tensor factorization techniques. The aspect of intent awareness (or scoring) is dealt with at this stage. Finally, combining the user activity data with the contextual information gives the recommendation score. The final recommendations are then ranked using filtering and collaborative recommendation techniques to show the top-k recommendations to the user. A provision for feedback is also envisioned in the current system which informs the model to update the various weights in the recommender system. Our overall model aims to combine both frequency-based and context-based recommendation systems and quantify the intent of a user to provide better recommendations. We ran experiments on real-world timestamped user activity data, in the setting of recommending reports to the users of a business analytics tool and the results are better than the baselines. We also tuned certain aspects of our model to arrive at optimized results.Comment: Presented at the 5th International Workshop on Data Science and Big Data Analytics (DSBDA), 17th IEEE International Conference on Data Mining (ICDM) 2017; 8 pages; 4 figures; Due to the limitation "The abstract field cannot be longer than 1,920 characters," the abstract appearing here is slightly shorter than the one in the PDF fil

Improving the dynamics of aid : towards more predictable budget support

This paper considers approaches towards improving the predictability of aid to low income countries, with a special focus on budget support. In order to accelerate progress towards the Millennium Development Goals, the donor community is increasing aid flows while pushing for more coordination and tighter performance-based selectivity. However, these factors may increase the unpredictability of aid from current levels, which are already high enough to impose significant costs. Predictability is a particular challenge in the area of budget support, which will continue to increase in importance as aid is sought to underpin longer-term recurrent spending commitments. Budget support reduces transactions costs and drains on capacity, but it tends to be more vulnerable to fluctuations than multi-year project support. Poor predictability raises the threat of a low-level equilibrium: countries, budgeting prudently within a medium-term fiscal framework, will discount commitments; donors will see few funding gaps, so pledges will fall. With some countries discounting aid commitments in formulating budgets, some already see signs of this happening. To improve predictability, donors must extend their funding horizons. However, even if this can be done, several major issues will remainat country level. First, how can countries deal with residual short-run volatility of disbursements relative to commitments? Second, can donors lengthen commitment horizons to individual developing countries without excessive risk of misallocating aid? Third, within a country's overall aid envelope, how should donors set the shares of project aid and budget support? Finally, the paper considers the other main approach to budget support, the output or outcome-driven approach of the European Union. The paper concludes that many of these issues can be addressed. Simple spending and savings rules built around a buffer reserve fund of 2-4 months of imports can help smooth public spending. Aid can be pre-committed several years ahead with only small efficiency losses, using a strategy of"flexible pre-commitment."Guidelines can be set to limit the volatility of budget support while keeping it performance-based, and past experience can be used more systematically to develop"outcome"norms to better guide aid allocation.Development Economics&Aid Effectiveness,School Health,Economic Theory&Research,Markets and Market Access,Country Strategy&Performance

The trajectory of regulatory reform in the UK in the wake of the financial crisis

There has been much talk about regulatory reform around the world in the wake of the financial crisis but relatively little action. As a major international financial centre, the UK is very much at the heart of the debate and has a particular interest in the ultimate outcome. The financial crisis has exposed the weaknesses of ‘light touch’ regulation and ‘principles-based’ regulation, which characterised the UK system in the pre-crisis phase. Changes to the institutional structure of regulation recently announced by the new coalition government, combined with changes to regulatory style, are likely to have far-reaching consequences for the practice and intensity of regulation in the UK. This article reviews and assesses recent and proposed regulatory changes and considers the relationship between corporate governance and regulation. It evaluates the impact on the UK system of initiatives undertaken at international and EC levels as well as various interests and incentives within the UK that are likely to be influential in shaping the regulatory regime in years to come

Best Practice in Performance Budgeting

This paper seeks to identify the best practice principles for performance budgeting. It describes and analyses the principle mechanisms by which performance budgeting systems attempt to link results and resources. These mechanisms are evaluated, drawing amongst other things upon analysis of the underlying relationship between results and resources. The potential scope for the integration of performance management and budgeting is considered.

Ring-Fencing

“Ring-fencing” is often touted as a regulatory solution to problems in banking, finance, public utilities, and insurance. However, both the precise meaning of ring-fencing, as well as the nature of the problems that ring-fencing regulation purports to solve, are ill defined. This article examines the functions and conceptual foundations of ring-fencing. In a regulatory context, the term can best be understood as legally deconstructing a firm in order to more optimally reallocate and reduce risk. So utilized, ring-fencing can help to protect public-benefit activities performed by private-sector firms, as well as to mitigate systemic risk and the too-big-to-fail problem inherent in large financial institutions. If not structured carefully, however, ring-fencing can inadvertently undermine efficiency and externalize costs

Consistency of online consumers' perceptions of posted comments: An analysis of TripAdvisor reviews

Ratings and comments play a dominant role in online reviews. The question, thus, arises as to whether or not there is any consistency in consumer perception of the reviews, and how future choices might be influenced. We analysed 2000 comments of 20 different hotels posted on TripAdvisor to determine if the comments posted by previous guests of a hotel influence the decisions of potential guests. Two hundred human raters were asked to consider 20 reviews and to rate a hotel based on the reviews. The Cohen Kappa coefficient was used to evaluate the degree of agreement on the hotel quality as determined by the human raters and the star rating given by the original reviewer. The results showed a high consistency between the human raters’ evaluation and the reviewers’ star rating. This research reveals the importance of website feedback such as TripAdvisor in influencing consumer choice

Inclusive Economy Indicators: Framework & Indicator Recommendations

This report provides a summary of our research and recommendations for indicators to measure inclusive economies