中国货币供应、通货膨胀及经济增长关系实证研究

采用协整与方差分解的方法时中国货币供应、通货膨胀与经济增长的关系进行实证研究发现，通货膨胀与经济增长在短期和长期中作用关系相反，但都具有回归自然水平趋势，货币供应时通货膨胀和经济增长的影响具有滞后效应，长期内货币非中性。而通货膨胀和经济增长并不影响货币供应。一方面。应当采取措施降低货币供应增长率：另一方面，偏紧货币政策的滞后效应可能导致经济紧缩应当采取措施降低货币供应增长率，因此应谨慎调控宏观经济政策，以避免金融风险。     

基于VAR模型的山东省经济增长波动分析

本文通过建立向量自回归模型,运用脉冲响应函数和预测方差分解的方法对山东省经济增长的波动情况进行了实证分析。研究结果表明:各变量对山东经济增长的影响均不太明显。这说明山东经济一直保持稳定快速发展的势头。     

The Effects of Oil Price on the Korean Economy: A Global VAR Approach

This article empirically explores the effects of oil price on the Korean economy using a Global VAR model. First, we evaluate the average connectedness of oil price with the Korean domestic variables over the precrisis period. We then investigate the time-varying contribution of oil price to the Korean financial and real sectors during and after the global financial crisis through recursive estimation. It is found that the contribution of oil price becomes very large in the case of real exports, equity prices, and real output, but plays a much less prevalent role in the remaining cases. In the meantime, the time-varying contribution of oil price to the Korean economy has not changed during and after the global financial crisis. Interestingly, we find that the Korean economy is affected mostly by overseas financial conditions in the short-term but it becomes more susceptible to oil price fluctuations in the long run, suggesting that Korea’s reliance on energy imports leaves the economy exposed to volatility in energy prices.     

城市家庭住房不平等:户籍、禀赋还是城市特征？——基于广义有序模型与Oaxaca-Blinder分解

基于中国劳动力动态调查（CLDS）数据，运用广义有序Logit模型实证分析户籍、家庭禀赋和城市特征三类因素对城市家庭住房不平等的影响；运用夏普利值分解、Oaxaca-Blinder分解区分"努力"和"环境"因素、户籍歧视和禀赋效应的贡献。研究发现：户籍可解释住房等级不平等的54.2%；"努力"因素对住房水平起正向作用；在户籍间住房等级不平等中户籍歧视效应占主导，在住房面积不平等中禀赋效应占主导，外地户口居民住房水平低源于"环境"因素趋弱，农业户口居民则源于"努力"和"环境"因素叠加趋弱；由于生活成本效应占主导，城市规模和流动人口占比越大，居民住房等级趋低，而城市土地供给增长有助于提升住房水平。     

A new multiscale decomposition ensemble approach for forecasting exchange rates

Due to the high complexity and strong nonlinearity nature of foreign exchange rates, how to forecast foreign exchange rate accurately is regarded as a challenging research topic. Therefore, developing highly accurate forecasting method is of great significance to investors and policy makers. A new multiscale decomposition ensemble approach to forecast foreign exchange rates is proposed in this paper. In the approach, the variational mode decomposition (VMD) method is utilized to divide foreign exchange rates into a finite number of subcomponents; the support vector neural network (SVNN) technique is used to model and forecast each subcomponent respectively; another SVNN technique is utilized to integrate the forecasting results of each subcomponent to generate the final forecast results. To verify the superiority of the proposed approach, four major exchange rates were chosen for model comparison and evaluation. The experimental results indicate that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach outperforms some other benchmarks in terms of forecasting accuracy and statistical tests. This demonstrates that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach is promising for forecasting foreign exchange rates.     

Informal Employment and the Structure of Wages in India: A Review of Trends

The “alternative”, “atypical” or “informal” workforce has grown in developed and developing countries alike. One of the more recent evolutions of informal employment has been of informal employment within formal enterprises. In the interest of flexibility and cost‐reduction, many formal firms increasingly resort to hiring workers on a temporary or informal basis. Alongside, and perhaps, as a result of the persistence and pervasiveness of informal employment, issues relating to inequality have come to the fore. This paper is motivated by these two intertwining aspects of Indian labor market—informality and wage inequality. Using nationally representative sample data, the paper examines trends in wage inequality among various forms of informal workers, overlaying these findings with broader trends in inequality. Using a regression based inequality decomposition, the paper compares the sources of wage inequality across different employment groups and the reasons for differences in wage inequality.     

基于web的高校教学与科研精细化管理模式研究

本文探讨了将高校教学与科研目标管理转换为多层次指标和权重的绩效管理的方法,采用精细化的管理理论,设计了利用网络和计算机技术解决高校教学与科研的考核与奖罚的管理模式。对高校信息化、精细化、标准化管理和过程控制具有重要意义。     

Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain

This study presents a mathematical model that designs a reliable multi-modal transportation network for a biofuel supply chain system, where intermodal hubs are subject to site-dependent probabilistic disruptions. The disruption probabilities of intermodal hubs are estimated by using a probabilistic model which is developed using real world data. We developed an accelerated Benders decomposition algorithm to solve this challenging NP-hard problem. Numerical analysis show that the model selects to use intermodal hubs located in areas with low disruption probabilities. In case of a disaster, the reliable solution results in 6.21% savings over the minimum cost solution.     

Reaffirming the CEO effect is significant and much larger than chance: A comment on Fitza (2014)

A recent study by Fitza argued that the prior estimates of the Chief Executive Officer (CEO) effect are conflated with events outside the CEO's control, are largely the result of random chance, and that the true CEO effect is smaller than has been previously estimated. We suggest that the empirical methodology employed by Fitza to support these claims substantially overstates the “random chance” element of the CEO effect. We replicate Fitza's findings, highlight methodological issues, offer alternative conclusions, and using multilevel modeling (MLM), suggest that his analyses mischaracterize the CEO effect. Copyright © 2016 John Wiley & Sons, Ltd.     

IMMIGRANT RELATIVE WAGES AT THE GREAT RECESSION: EVIDENCE WITH MATCHED EMPLOYER‐EMPLOYEE DATA FOR SPAIN

The article examines relative wages of immigrants in Spain, with a particular focus on the impact of the Great Recession. The empirical analysis is restricted to men and is based on matched employer‐employee microdata and the decomposition techniques of Juhn et al. (1991, 1993) and Fortin et al. (2011). Our results show that the significant native‐immigrant wage gap that exists both in terms of average wages and of differentials along the wage distribution is essentially explained by differences in the endowments of observed characteristics so that, in general, immigrants tend to receive a similar wage treatment than Spaniards with analogous observed attributes. On the other hand, the Great Recession has had a noticeable impact on the relative wages of immigrants, given that the significant increase of the native‐immigrant wage gap observed during the previous expansionary period was mitigated during the economic downturn due to composition effects arising from the severe employment destruction pattern.