Back under the Microscope: Insights from Evidence on Budget Support

This article analyses evidence for each of the expected benefits of budget support in turn, and finds the biggest improvements in the pro‐poor nature of public expenditure and public financial management. More modest improvements are noted in the predictability of aid and the burden of transaction costs, while less is known about the real effects on domestic accountability. Underlying them all is an assessment that programmes are incapable of ‘buying’ reforms. Drawing on the analysis, seven areas are highlighted where budget support design can be strengthened vis‐à‐vis its original rationale.     

Economic and economic–statistical designs of VSI Bayesian control chart using Monte Carlo method and ABC algorithm

The usual practice in using a Bayesian control chart to monitor a process is done by taking samples from the process with fixed sampling intervals. Recent studies on traditional control charts have shown that variable sampling interval (VSI) scheme compared to classical scheme (fixed ratio sampling, FRS) helps practitioners to detect process shifts more quickly. In this paper, the effectiveness of VSI scheme on performance of Bayesian control chart has been studied, based on economic (ED) and economic–statistical designs (ESD). Monte Carlo method and artificial bee colony algorithm have been utilized to obtain optimal design parameters of Bayesian control chart (sample size, sampling intervals, warning limit and control limit) since the statistic of this approach does not have any specified distribution. Finally, VSI Bayesian control chart has been compared to FRS Bayesian and VSI X-bar approaches based on ED and ESD, separately. According to the results, it has been found that the performance of VSI Bayesian scheme is better than FRS Bayesian and VSI X-bar approaches.