Does the World Bank have a micro-macro paradox or do the data deceive?

In 1986, Mosely first drew attention to an apparent paradox in the performance of international aid. Microeconomic data from evaluations of aid financed projects showed a majority of projects were successful, whereas macroeconomic data from regressions of aid on growth were discouraging. The paradox, if real, implied that the aggregate impact of aid was less the sum of its parts. Mosely asked whether the paradox was real of whether the “data deceived.” This question, which has come to be equated with the issue of whether aid works, has been the subject of numerous cross-country regressions to test whether aid has an impact on growth (or related variables). But the regression results have been inconclusive, and the methodology has come under attack. Evidence from case studies offers an alternative test. One prominent case study approach is that of Picciotto (2009), which claims to find strong evidence for the existence of the paradox, namely the fact that one third of World Bank country assistance program evaluations show success at the project (micro) level but not at the country (macro) level. This paper re-evaluates Piciotto’s claimed findings.aid, aid effectiveness, world bank

A Multi-Dimensional Trust Model for Heterogeneous Contract Observations

In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dimensional contracts. We consider the specific case of an agent attempting to procure a bundle of services that are subject to correlated quality of service failures (e.g. due to use of shared resources or infrastructure), and where the direct experience of other agents within the system consists of contracts over different combinations of these services. To this end, we present a formalism based on the Kalman filter that represents trust as a vector estimate of the probability that each service will be successfully delivered, and a covariance matrix that describes the uncertainty and correlations between these probabilities. We describe how the agents’ direct experiences of contract outcomes can be represented and combined within this formalism, and we empirically demonstrate that our formalism provides significantly better trustworthiness estimates than the alternative of using separate single-dimensional trust models for each separate service (where information regarding the correlations between each estimate is lost)

Crossing the threshold : an analysis of IBRD graduation policy

According to World Bank policy, countries remain eligible to borrow from the International Bank for Reconstruction and Development until they are able to sustain long-term development without further recourse to Bank financing. Graduation from the Bank is not an automatic consequence of reaching a particular income level, but rather is supposed to be based on a determination of whether the country has reached a level of institutional development and capital-market access that enables it to sustain its own development process without recourse to Bank funding. This paper assesses how International Bank for Reconstruction and Development graduation policy operates in practice, investigating what income and non-income factors appear to have influenced graduation decisions in recent decades, based on panel data for 1982 through 2008. Explanatory variables include the per-capita income of the country, as well as measures of institutional development and market access that are cited as criteria by the graduation policy, and other plausible explanatory variables that capture the levels of economic development and vulnerability of the country. The authors find that the observed correlates of Bank graduation are generally consistent with the stated policy. Countries that are wealthier, more creditworthy, more institutionally developed, and less vulnerable to shocks are more likely to have graduated. Predicted probabilities generated by the model correspond closely to the actual graduation and de-graduation experiences of most countries (such as Korea and Trinidad and Tobago), and suggest that Hungary and Latvia may have graduated prematurely -- a prediction consistent with their subsequent return to borrowing from the Bank in the wake of the global financial crisis.Economic Theory&Research,Emerging Markets,Banks&Banking Reform,Labor Policies,Debt Markets

Travelogue pour un Marco Polo [My Travels with Claude?] : A journey through the composer’s life and work in 10 days

In his article, Stephen Rogers puts forward an interpretation of the work of Claude Vivier and its particular relationship(s) with travel. It is a reflective work which aims less at analysis than description. Those familiar with the techniques and gestures which Vivier used to create his music will recognize some of the same techniques applied in Rogers’ paper to the written rather than the sonic world.Dans son article, Stephen Rogers propose une interprétation du travail de Claude Vivier et de son rapport particulier au thème du voyage. C’est un travail de réflexion qui s’attache davantage à la description, plutôt qu’à l’analyse. Les lecteurs pour qui les techniques utilisées par Vivier pour créer sa musique sont familières retrouveront certaines d’entre elles à l’oeuvre dans l’article de Rogers, mais appliquées à l’écrit, plutôt qu’au sonore

Towards Real-Time Information Processing of Sensor Network Data using Computationally Efficient Multi-output Gaussian Processes

In this paper, we describe a novel, computationally efficient algorithm that facilitates the autonomous acquisition of readings from sensor networks (deciding when and which sensor to acquire readings from at any time), and which can, with minimal domain knowledge, perform a range of information processing tasks including modelling the accuracy of the sensor readings, predicting the value of missing sensor readings, and predicting how the monitored environmental variables will evolve into the future. Our motivating scenario is the need to provide situational awareness support to first responders at the scene of a large scale incident, and to this end, we describe a novel iterative formulation of a multi-output Gaussian process that can build and exploit a probabilistic model of the environmental variables being measured (including the correlations and delays that exist between them). We validate our approach using data collected from a network of weather sensors located on the south coast of England

Aid quality and donor rankings

This paper offers new measures of aid quality covering 38 bilateral and multilateral donors, as well as new insights about the robustness and usefulness of such measures. The 2005 Paris Declaration on Aid Effectiveness and the follow-up 2008 Accra Agenda for Action have focused attention on common donor practices that reduce the development impact of aid. Using 18 underlying indicators that capture these practices -- derived from the OECD-DAC's Survey for Monitoring the Paris Declaration, the new AidData database, and the DAC aid tables -- the authors construct an overall aid quality index and four coherently defined sub-indexes on aid selectivity, alignment, harmonization, and specialization. Compared with earlier indicators used in donor rankings, this indicator set is more comprehensive and representative of the range of donor practices addressed in the Paris Declaration, improving the validity, reliability, and robustness of rankings. One of the innovations is to increase the validity of the aid quality indicators by adjusting for recipient characteristics, donor aid volumes, and other factors. Despite these improvements in data and methodology, the authors caution against overinterpretation on overall indexes such as these. Alternative plausible assumptions regarding weights or the inclusion of additional indicators can still produce marked shifts in the ranking of some donors, so that small differences in overall rankings are not meaningful. Moreover, because the performance of some donors varies considerably across the four sub-indexes, these sub-indexes may be more useful than the overall index in identifying donors’ relative strengths and weaknesses.Gender and Health,Development Economics&Aid Effectiveness,Economic Adjustment and Lending,Disability,Poverty Monitoring&Analysis