When Overlapping Organisations Play Two-Level Games: IMF–EU Interaction in Credit Lending to Latvia and Greece

In the literature, the cooperation of the IMF and the EU in credit lending has been discussed either from a state-centric, bureaucratic or institutionalist perspective. In this article, we examine the Troika as a set-up of multiple organisational overlap providing bureaucratic agents with constraints and opportunities for strategic action. Taking Latvia and Greece as cases in point, we analyse who prevails in a situation of conflict and why. How do these international organisations manage to overcome their differences and reach consensus? Drawing on the Two-Level game approach, we argue that negotiators are more likely to prevail over each other when their respective win-set decreases. We find that different strategies to manipulate win-sets are decisive to explain both cooperation and assertiveness. Changing costs of no agreement during a lending programme as well as the institutional procedures for programme ratification facilitate the use of these strategies.     

证券市场下政府--机构博弈模型设计与分析

政府对“机构”的监管,是政府对机构违法行为的查处率和处罚程度的问题。本文通过博弈模型的设计,分析政府监管机构的策略。     

人力资源的价值工程分析

人力资源的开发与管理实践是企业管理的重要内容，本文在对人力资源管理认识的基础上，运用价值工程，探讨人力资源管理模式。     

Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3 competition. Two masked subsets of the M3 monthly industry data, containing 111 and 11 empirical time series respectively, were chosen, controlling for multiple data conditions of time series length (short/long), data patterns (seasonal/non-seasonal) and forecasting horizons (short/medium/long). The relative forecasting accuracy was assessed using the metrics from the M3, together with later extensions of scaled measures, and non-parametric statistical tests. The NN3 competition attracted 59 submissions from NN, CI and statistics, making it the largest CI competition on time series data. Its main findings include: (a) only one NN outperformed the damped trend using the sMAPE, but more contenders outperformed the AutomatANN of the M3; (b) ensembles of CI approaches performed very well, better than combinations of statistical methods; (c) a novel, complex statistical method outperformed all statistical and CI benchmarks; and (d) for the most difficult subset of short and seasonal series, a methodology employing echo state neural networks outperformed all others. The NN3 results highlight the ability of NN to handle complex data, including short and seasonal time series, beyond prior expectations, and thus identify multiple avenues for future research.     

Chasing Success: Health Sector Aid and Mortality

As many cases studies show, successful public health measures are being implemented in many places around the globe, and country-level mortality has fallen significantly in recent decades in all but a few countries. Are the two linked? Does development assistance for health (DAH) improve, on balance, recipient countries’ mortality trajectory? Using a new data source containing DAH on 96 high mortality countries, the regression analysis shows no effect of DAH on mortality. Other types of aid, including water development, also have no effect. Economic growth, on the other hand, has a strong negative effect on mortality. These findings confirm and build upon recent work by Williamson (2008) and are shown to be robust to a variety of sensitivity analyses and alternative model specifications and estimation methods.This analysis also shows that the effectiveness of DAH has not increased over time, even as the level of that funding has increased fourfold, though spending on infectious diseases and family planning may have caused small reductions in mortality. Furthermore, even though it is encouraging that DAH has tended to go where the need is highest, it also goes to states that have experienced the greatest mortality reductions in the recent past. In other words, DAH appears to be following success, rather than causing it.     

Condorcet's Jury Theorem and the reliability of majority voting

The effect on the Jury Theorem of dependency among votes is discussed. Condorcet's original model and theorem depend crucially on the assumption of independence and the applicability of the binomial distribution. Two simple extensions of the binomial distribution are used to illustrate the effects of dependency on the quality of group decision making. With the correlated binomial model, it is possible to isolate the effect of pairwise dependency. In the presence of fairly strong pairwise dependency, we are not even guaranteed the natural property of monotonicity with respect to voters. A Pólya-Eggenberger model illustrates the effect of contagion on group competence. A special case of the beta-binomial distribution is used to demonstrate that, even in the presence of synergetic group effects, we are not guaranteed infallible decisions from a very large group. Consequences for an epistemic theory of democracy are indicated.     

The Tragedy of the Commons and Inflation Bias in the Euro Area

Central bank credit has expanded dramatically in some of the Euro Area member countries since the beginning of the financial crisis. This paper makes two contributions to understand this stylized fact. First, we discuss a simple model of monetary policy that includes (i) a credit channel and (ii) a common pool problem in a monetary union. We illustrate that the interaction of the two elements leads to an inflation bias that is independent of the standard time-inconsistency bias. Secondly, we present an institutional analysis that is consistent with the view of fragmented monetary policy and empirical evidence that illustrates the heterogeneity of central bank credit expansion.     

On ratio estimates in simple random sampling with some practical applications

Abstract

The distribution of a ratio of two statistical variables has long been of gr,eat interest, especially with regard to the practical application within different branches. Several authors have also been interested in this subject, and a number of articles have been written on this problem on the basis of different assumptions. This problem seems now again to have been actualized by new experiences (ref. 2, 3,4) in the statistical sampling methods.