Wilhelm Röpke and Richard C. Koo On Secondary Deflations and Balance Sheet Recessions

The concept of a ‘secondary deflation’ was developed in the 1930s by the German economist Wilhelm Röpke, who saw it as something different from a normal depression. While a primary deflation is a necessary reaction to the inflation from a boom period, a secondary deflation is independent and economically purposeless. Röpke argued that secondary depressions occurred in the US, Germany, France and Switzerland during the 1930s, but was vague on what made them follow primary depressions. Recently, the Taiwanese–American economist Richard C. Koo has claimed to have discovered the ‘Holy Grail of macroeconomics’, that is, what made the Great Depression so deep and long. During the Great Depression, the bursting of the asset price bubble resulted in private sectors having more debt than assets; as they shifted from maximising profits to minimising debt, the consequent debt deflation shrank the economy. According to Koo, Western economies today are suffering from a similar ‘balance sheet recession’. Strengthened by the notion of a balance sheet recession, Röpke's long‐lost insights might advance our understanding of the business cycle in general and the present crisis in the US and the Eurozone in particular.     

Educational Development in South Sudan: Conscious Design or Spontaneous Order?

Educational development is key to the future prosperity of South Sudan. Officially the situation appears bleak with up to 50 per cent of primary‐aged children out of school, high reported dropout rates and poor attainment. Those involved in the development of education, government departments, international agencies, individuals and communities are each following one of two different approaches as they seek to extend the reach of education. The article suggests that these different approaches arise because those involved hold to either a conscious‐design or a spontaneous‐order model for educational development. The article looks at the recent development of schools in Juba, the capital of South Sudan, in the light of these two theories and finds, despite the rhetoric of the official reports, that most growth is organic and that most recent educational development is emerging spontaneously.     

Optimal risk taking in an uneven tournament game with risk averse players

We analyze the optimal choice of risk in a two-stage tournament game between two players that have different concave utility functions. At the first stage, both players simultaneously choose risk. At the second stage, both observe overall risk and simultaneously decide on effort or investment. The results show that those two effects which mainly determine risk taking – an effort effect and a likelihood effect – are strictly interrelated. This finding sharply contrasts with existing results on risk taking in tournament games with symmetric equilibrium efforts where such linkage can never arise. Conditions are derived under which this linkage leads to a reversed likelihood effect so that the favorite (underdog) can increase his winning probability by increasing (decreasing) risk which is impossible in a completely symmetric setting.     

Least-squares forecast averaging

This paper proposes forecast combination based on the method of Mallows Model Averaging (MMA). The method selects forecast weights by minimizing a Mallows criterion. This criterion is an asymptotically unbiased estimate of both the in-sample mean-squared error (MSE) and the out-of-sample one-step-ahead mean-squared forecast error (MSFE). Furthermore, the MMA weights are asymptotically mean-square optimal in the absence of time-series dependence. We show how to compute MMA weights in forecasting settings, and investigate the performance of the method in simple but illustrative simulation environments. We find that the MMA forecasts have low MSFE and have much lower maximum regret than other feasible forecasting methods, including equal weighting, BIC selection, weighted BIC, AIC selection, weighted AIC, Bates–Granger combination, predictive least squares, and Granger–Ramanathan combination.     

Partial identification of probability distributions with misclassified data

This paper addresses the problem of data errors in discrete variables. When data errors occur, the observed variable is a misclassified version of the variable of interest, whose distribution is not identified. Inferential problems caused by data errors have been conceptualized through convolution and mixture models. This paper introduces the direct misclassification approach. The approach is based on the observation that in the presence of classification errors, the relation between the distribution of the ‘true’ but unobservable variable and its misclassified representation is given by a linear system of simultaneous equations, in which the coefficient matrix is the matrix of misclassification probabilities. Formalizing the problem in these terms allows one to incorporate any prior information into the analysis through sets of restrictions on the matrix of misclassification probabilities. Such information can have strong identifying power. The direct misclassification approach fully exploits it to derive identification regions for any real functional of the distribution of interest. A method for estimating the identification regions and construct their confidence sets is given, and illustrated with an empirical analysis of the distribution of pension plan types using data from the Health and Retirement Study.     

Efficient forecast tests for conditional policy forecasts

Central Banks regularly make forecasts, such as the Fed’s Greenbook forecast, that are conditioned on hypothetical paths for the policy interest rate. While there are good public policy reasons to evaluate the quality of such forecasts, up until now, the most common approach has been to ignore their conditional nature and apply standard forecast efficiency tests. In this paper we derive tests for the efficiency of conditional forecasts. Intuitively, these tests involve implicit estimates of the degree to which the conditioning path is counterfactual and the magnitude of the policy feedback over the forecast horizon. We apply the tests to the Greenbook forecast and the Bank of England’s inflation report forecast, finding some evidence of forecast inefficiency. Nonetheless, we argue that the conditional nature of the forecasts made by central banks represents a substantial impediment to the analysis of their quality—stronger assumptions are needed and forecast inefficiency may go undetected for longer than would be the case if central banks were instead to report unconditional forecasts.     

Revisiting the relationship between suicide and unemployment: Evidence from linear and nonlinear cointegration

This study employs the linear and nonlinear ARDL cointegration methodologies to examine the potential symmetric and asymmetric responses of suicide rates to unemployment rates in the US from 1928 to 2013. Our results suggest that suicide rates are pro-cyclical with respect to the business cycle (measured by changes in the unemployment rate) after extensively controlling for divorce and fertility rates. Unemployment has symmetric long-run effects on the age-adjusted suicide rate and four age-specific (from ages 25–34 to 55–64) suicide rates, while the effect of an economic expansion on suicide rates for those aged over 45 is greater than the effect of an economic recession. These findings imply that the effect of an economic expansion on the decrease of the suicide rate is higher than the effect of an economic recession on the increase of the suicide rate for individuals aged over 45. Therefore, intervention designed to reduce suicidal behaviors should emphasize periods of economic recession more than periods of economic expansion for those of middle age and beyond.     

基于SOA的数字化校园解决方案研究

为了解决高校应用系统的"信息孤岛"效应,实现各应用系统之间数据的交互和共享,论文提出了一种基于SOA的数字化校园解决方案,该方案基于SOA体系架构,采用IBM的WebSphere软件体系和J2EE技术路线作为支撑,是一种优秀的数字化校园整体解决方案。     

基于J2ME的移动办公平台的设计与实现

随着网络办公自动化的日益普及以及无线通信业的迅猛发展,人们希望能够通过日益普及的无线设备实现移动办公自动化。本文根据移动受限终端的实际要求,提出以支持J2ME平台的受限设备为客户端,通过无线传输信息到WEB服务器,以XML中间件技术同EJB容器相连接,实现同数据库服务器的数据交互的J2EE体系框架;并设计出一套满足移动办公需求的工作流管理模型。     

内蒙古交通物流公共信息系统的设计与实现

在详细分析内蒙古交通物流公共信息系统功能需求的基础上,设计系统总体架构和交通物流数据中心结构,配置系统软硬件运行环境,完成J2EE构架下基于WebSphere、Oracle的内蒙古交通物流公共信息系统软件开发,全面支持交通运输管理部门和物流企业的业务运行。目前系统运行稳定,对提高交通运输管理部门和物流企业的信息化管理及服务水平,降低成本,提高效益具有积极意义。